Today, most modern applications run on Kubernetes, the leading orchestration platform for distributed microservices. But even before Kubernetes’ arrival, when modern applications needed a distributed database backend to achieve the required fault tolerance, scalability, and performance, Apache Cassandra came out to answer the call. So why not run Cassandra on Kubernetes? Get the performance you need while simplifying operational complexity.&nbsp;

That’s why DataStax engineered DataStax Enterprise (DSE), a hybrid cloud powerhouse database built on Cassandra, to run on Kubernetes. And that’s why DataStax has certified DSE on VMware Tanzu, the Kubernetes distribution that adds enterprise grade security and identity management, and application and workload management across clouds. Read more in the data sheet.

&nbsp;

English

Run DataStax Enterprise on VMware Tanzu to cut Hybrid Database’s Operational Complexity by Half

Enterprises wanting to run data workloads on Kubernetes are often faced with significant barriers. K8ssandra is a cloud-native distribution of Apache Cassandra® equipped with related open-source packages specifically designed to address these barriers. K8ssandra provides everything you need to automate the deployment and operations of Cassandra on Kubernetes and expose your database as industry-standard APIs.&nbsp;

K8ssandra is certified to run on VMware Tanzu Kubernetes Grid, a leading Kubernetes distribution from VMWare. Together they provide friction-free deployment of Cassandra universally across public, private, or hybrid clouds. K8ssandra and Tanzu work hand in hand to support NoSQL workloads like key-value, tabular, or document at planetary scale, with always-on availability.

Read this datasheet to learn more about the advantages of running K8ssandra on VMware Tanzu:

<ul>
	<li>Bring data to the edge</li>
	<li>High availability and linear scalability on any cloud</li>
	<li>Single control plane for running K8s pods and data clusters&nbsp;</li>
	<li>Secure software supply chain</li>
	<li>Increased Productivity, with Peace of Mind</li>
</ul>

K8ssandra + VMware Tanzu

Apache Pulsar is rapidly becoming the go-to technology for enterprises that want to modernize their event driven architectures to provide real time data processing capabilities across their organization. As the volume of real time messages and events grows, so does the sensitivity of the data being processed by Apache Pulsar. In turn, the need to ensure that Pulsar is configured securely and that the necessary safeguards have been implemented to prevent data breaches and other risks to this data is a critical factor for enterprises when adopting this technology.

Fortunately, Apache Pulsar has been built from the ground up to provide a foundation of security. DataStax has extended this even further to provide an enterprise ready distribution of Apache Pulsar through the DataStax Luna Streaming product.

In this white paper we will walk through common aspects of security that you should take into account when implementing Apache Pulsar. We will also provide you with a guide to securely configure and operate DataStax Luna Streaming using many of the standard features found in Apache Pulsar as well as capabilities such as SSO integration and enterprise authentication/authorization which are exclusive to DataStax Luna Streaming.

Security Best Practices for Apache Pulsar

The General Data Protection Regulation, or GDPR, is a regulation of the European Union that governs the rights of users with respect to the collection, processing and storage of their personal data. The GDPR applies to personal data for any citizen of the European Union regardless of whether or not the organization collecting that data has a presence in the EU or not. Because the penalties for violating GDPR regulations can be severe, it is imperative that organizations comply with these regulations.

In this white paper we will look at specific aspects of GDPR and offer insights into the capabilities within Apache Pulsar that help you to comply with GDPR. We will examine design patterns that can be taken into consideration as your organization is formulating its approach to GDPR compliance.

Simplify GDPR Compliance with Apache Pulsar

Developers and DBAs using Apache Cassandra have long been without some of the niceties of SQL. The use of arithmetic operators is a welcome addition to CQL. It offers both the convenience to apply them at query time, as well as the reduction of application code required to process numeric and time series data sets.&nbsp;&nbsp;

We’ll be there live to answer questions.&nbsp; We'll walk step by step through an example to show you how this feature really shines when you apply it to time series or event data models.

<h4>Key takeaways:</h4>

<ul>
	<li>Common arithmetic operations (*, /, +, -, %) can now be applied in both the SELECT and WHERE clauses of a CQL statement</li>
	<li>The use of multiple arithmetic operators will follow the standard order of operations (parenthesis, multiply, divide, add, subtract)</li>
	<li>It may be necessary to use the CAST function to enforce the desired level of precision</li>
	<li>Duration abbreviations can be used to filter column values of time-based data types</li>
	<li>Durations are only valid for types which allow their level of precision</li>
</ul>

&nbsp;

DataStax Explores C* 4.0 

The adoption of Cassandra has been outpacing SQL databases for a number of years. Cassandra offers unique benefits such as 100% uptime, infinite scalability, and low latency. With the largest tech companies on the planet like&nbsp;Apple and Netflix&nbsp;using Cassandra, it begs the question, should I be part of this wave?&nbsp; What exactly are ideal use cases?&nbsp;

Join us to learn:

<ul>
	<li>General characteristics of an ideal Cassandra use case</li>
	<li>The top five Cassandra&nbsp;use cases</li>
	<li>What use cases to avoid with Cassandra</li>
</ul>

Top 5 Use Cases for Cassandra 

Traditional event driven architectures are rapidly approaching their breaking point. Microservices, IoT, and real time digital experiences have resulted in exponential growth of events and data streams - growth legacy messaging platforms were never built to support.&nbsp;
Fortunately, the next generation of messaging and event streaming is here: Apache Pulsar. Pulsar is rapidly gaining mindshare and adoption within mainstream enterprises that want to build a competitive advantage through their data and their ability to react to business events in real time.&nbsp;
Join DataStax Streaming Engineer Chris Bartholomew on Sept 22 at 9 AM PT to hear:
<ul>
<li>The top 10 reasons why organizations are looking to Pulsar as their data-in-motion solution</li>
<li>How DataStax Astra Streaming helps enterprises who want to consolidate their messaging middleware onto a unified, global, hybrid-cloud messaging platform</li>
</ul>

Top 10 Reasons Why Every Enterprise Should Use Apache Pulsar

Modernization often requires replacing relational workloads with NoSQL ones, since relational databases are not fit for modern applications that are purpose-built for the microservice oriented architecture. But migration from RDBMS to Apache Cassandra databases is not a straightforward affair. Fortunately DataStax has created an accelerator and related services built around the toolset, which together can reduce migration timeframe by two-thirds.

RDBMS-to-Apache Cassandra Migration Assessment and Strategy Services Package

DataStax Enterprise is the highly available NoSQL data tier of choice in IBM CloudPak for Data that helps customers scale their AI in the cloud.

Solution Brief: Modernize Data to Scale AI in Hybrid Cloud with IBM CloudPak for Data and DataStax Enterprise

Cassandra has a well-earned reputation as a powerhouse database system:&nbsp;it is always available, 100% reliable, and infinitely scalable. Unfortunately there are a few complaints about it as being difficult to work with, costly to operate, and not compatible for running on Kubernetes. However, DataStax has created a slew of innovations that render these negative labels as mere myths.

Read about the recent innovations DataStax has launched to make Cassandra super friendly to developers, your budget, and the cloud.

Busting 3 Cassandra Myths

Enterprises in industries like eCommerce and IoT continue to move towards microservices-based architectures and containerization. While these application architectures help organizations achieve lower latency and improved reliability, Google Anthos is the next step forward for modern distributed infrastructures.

This new whitepaper discusses Google’s hybrid and multi-cloud Anthos platform for modernizing enterprise applications, why distributed databases are crucial for this low-latency, active everywhere architecture, and how DataStax Enterprise fits into the mix.

&nbsp;

&nbsp;

Kubernetes for Enterprises: Real-Time Everywhere with DataStax & Google Anthos

<img alt="TechCrunch DataStax IBM" data-entity-type="file" data-entity-uuid="9e2c1ccc-3295-449e-b21f-9d7a15da8a43" src="https://www.datastax.com/sites/default/files/inline-images/Screen%20Shot%202021-07-02%20at%208.22.42%20AM.png" />

Many enterprises are struggling to run modern workloads using legacy databases that can’t keep up with real-time, highly active, and unstructured data. Success relies on modern data applications and databases that are always on, highly scalable, secure, and able to utilize real-time data.

In this fireside chat-style webinar, Patrick Callaghan, VP,&nbsp;Partner CTO at DataStax, and Alan Villalobos, VP of Development, Partnerships, Data and AI at IBM, dive into how together, IBM Cloud Pak for Data and DataStax Enterprise (DSE) enable a Cassandra-based distributed datastore, coupled with best-in-class data science, governance, and privacy.

You'll Walk Away With:

<ul>
	<li>An understanding of how Cassandra became a developer-friendly database</li>
	<li>The know-how to run a Kubernetes-native database, with the benefits of IBM’s ecosystem and DSE’s cloud-native API’s</li>
	<li>Use cases for realtime, massive amounts of data</li>
	<li>An overview of IBM Cloud Databases for DataStax</li>
</ul>

Modernize Your Data Architecture to Scale AI in the Cloud

This paper&nbsp;presents a novel microservices-based, cloud-native architecture that integrates natively with Kubernetes to bring true, safe, stateful workloads to the cloud-native age. This design enables fine-grained, elastic scalability of individual components to meet the capacity demands of modern application workloads. Major&nbsp;innovations in Astra DB are: (i) novel microservices-based, cloud-native architecture; (ii) multi-tenancy and fault isolation approach; and (iii) smart auto scaling design.

DataStax Astra DB: Designing a Serverless Cloud-Native Database-as-a-Service

The explosion of data workloads from customer-engaged applications and streaming IoT devices has given the monolithic architecture a verdict: too slow, too unscalable, and too prone to failure. Modernization promises to overturn this verdict. However, SQL databases that are part of the monolithic architecture have been so overburdened with complex business logic and abused as a central point of application integration that they compromise application performance and business agility.

DataStax architects argue for a modernization approach that considers not only the application, but also the data side. The approach transforms business logic complexity into domain-specific microservices that can be managed by small teams and orchestrated saga-style in runtime. They argue for a modern data stack, and propose a battle-tested SQL-to-Cassandra migration methodology and toolset. Backed by real-world case studies, this approach improves application performance and the business agility to bring innovations to market by multiple folds.

&nbsp;

Data Modernization - A Future State

The retail world is at a critical inflection point. Customers have come to expect a frictionless and seamless experience across all channels – bricks and mortar, web, mobile – and the amount of data retailers must manage has exploded. Smart retailers are modernizing their data [management] infrastructure to glean new AI- and ML-driven insights into customer behavior, supply chain performance, and operational efficiency.

In this webinar, you’ll learn how your retail organization can harness enterprise and external data to give customers what they want, when, and how they want it to grow revenue and profitability. Our experts will show you how to:

-- Maximize your data. Move your data out of siloed, legacy systems into a data platform that efficiently pools massive volumes of data from inside and outside your company to gain insights that simply weren’t possible before. Link the value chain end-to-end from supply to inventory to order and fulfillment with a single source of truth.

-- Modernize your infrastructure. Your digital transformation starts with a modern, cloud-native data platform that scales to meet your needs and can connect to just about any data source as well as emerging technologies such as AI-driven automation.

-- Make smarter decisions, faster. Stay ahead of market, demand, and supply-chain shifts with unprecedented throughput to inform your decision-making with real-time data. Join us to discover how major retailers including Walmart, The Home Depot, Macy’s, and Best Buy accelerated their digital transformation with DataStax Enterprise powered by Cassandra.

Retail at the Speed of Cassandra

Large, successful companies such as Apple, NetFlix and Yelp have embraced NoSQL to&nbsp; establish and maintain their market leading dominance. How can your team learn from their experiences, regardless of your budget or resources? In this webinar we’ll cover how your application development teams can learn from these early adopters to create apps that are cloud native, scale automatically and stay highly performant even during times of incredible demand.

Join us to learn:

<ul>
	<li>How to supercharge your app dev by adopting NoSQL</li>
	<li>Getting started with what you know from SQL</li>
	<li>How to get started with creating a modern app on Cassandra</li>
</ul>

How App Dev Managers at Leading Tech Stars Build and Scale Their Apps Fast

For telecommunication companies, the rollout of 5G will release a whole new ocean of data that could overwhelm legacy platforms – or create opportunities to build contextually rich data ecosystems that enable tactile and immersive customer experiences. What’s needed is a modern data platform that can leverage edge computing, operational analytics, advanced statistics, artificial intelligence (AI) and machine learning (ML) to provide insights on demand and enrich customer experiences with contextual data in real time.

In our latest webinar, you’ll learn how your telecommunications enterprise can create new applications that:

<ul>
	<li>Increase revenue with new market offerings that take advantage of IoT devices, edge computing, AI, VR/AR, blockchain and machine learning.</li>
	<li>Serve mobile users with an always-available, instantly responsive customer account portal.</li>
	<li>Launch new products at full scale without glitches or lag.</li>
	<li>Improve customer service with a repository that provides personalized recommendations, proactive solutions and next best steps.</li>
	<li>Lower operational costs related to legacy and sustaining infrastructure with increased open-source adoption, mainframe/RDBMS migration and greater application development velocity.</li>
	<li>Reduce TCO by quickly and accurately tracking root cause of network problems.</li>
	<li>Reduce hardware failures with predictive analytics that anticipate failures across the network.</li>
	<li>Mitigate risk with security, authentication, identity, fraud detection, risk management and privacy regulation compliance.</li>
	<li>Detect and prevent fraud with a combination of real-time and analytic capabilities.</li>
	<li>Handle massive volumes and spikes of data with an ML engine to improve fraud detection rate while reducing false positives.</li>
</ul>

The webinar also offers insights into real-world use cases by revealing how the world’s biggest telecom enterprises leveraged the world’s most scalable data stack.

3 Ways a Modern Multi-Cloud Data Platform can Transform Telco Applications

As enterprises expand the boundaries of their networks to span multiple geographies in a variety of on-prem data centers and cloud providers, the demands for asynchronous messaging and event streaming become increasingly sophisticated. Organizations can abstract away these complexities by developing a unified messaging fabric that stretches across the disparate infrastructure solutions to achieve a reliable, uniform solution that offers superior capabilities along with a simplified application architecture.

Overstock’s Principal Data Engineer Thor Sigurjonsson and Senior Data Engineer Devin Bost will join DataStax VP of Product Management Chris Latimer&nbsp;to discuss how the leading internet retailer incorporates a unified messaging fabric pattern to satisfy the demands of modern, real-time ecommerce.

In this webinar, you’ll learn:

<ul>
	<li>Why Apache Pulsar provides a compelling foundation for enterprises who want to pursue a strategy similar to Overstock’s.</li>
	<li>How DataStax Astra Streaming provides a cloud-native solution to accelerate the execution of a unified messaging strategy.</li>
</ul>

How Apache Pulsar Helps Overstock Win in Ecommerce

How&nbsp;Generali's data modernisation strategy was enabled by Fincons and DataStax

Join us for a virtual coffee break with Yanna Winter, CIO for Generali Global Corporate and Commercial (GC&amp;C) and&nbsp;Generali UK, and panelists to discuss industry trends, share best practices in digital transformation and hear how Generali's data modernisation strategy was enabled by Fincons and DataStax.&nbsp;

In this session, you will:

<ul>
	<li>Meet the Panel - Patrick Callaghan, DataStax moderator</li>
	<li>Learn about trends and scenarios on digital transformation challenges for traditional data platforms&nbsp; in the Insurance sector&nbsp;</li>
	<li>Get best practices for boosting front-ends performances without back-end overloading</li>
	<li>Hear how Generali UK has enhanced the value of data for management and regulatory reporting&nbsp;</li>
	<li>Q&amp;A</li>
</ul>

Coffee with Yanna Winter, CIO for Generali Global Corporate and Commercial (GC&C) and Generali UK

For dev managers and architects, choosing an RDBMS for creating web or mobile apps rapidly becomes technical debt later in the life cycle. However, NoSQL, especially Cassandra, is very popular because it offers infinite scalability, 100% uptime, and high performance. It's the database you use when you want the millionth customer's experience to be just as amazing as the first. 
 
Join us to learn more about:

<ul>
	<li>How Cassandra overcomes customer impacting limitations of relational databases</li>
	<li>Why an API and query first approach reduces developer friction to get your applications out faster</li>
	<li>How easily you can get up and running with Cassandra in minutes for free</li>
</ul>

Why Your Next App Should be on Cassandra

This document details the business advantages of data management solutions (such as backup&nbsp;and recovery, business continuity, and active database cluster cloning) when using NetApp Astra for containerized DataStax Enterprise and Apache Cassandra database server clusters on Google Kubernetes Engine (GKE) clusters in Google Cloud.

NetApp’s Cloud Volumes Service as the persistent storage for containerized DataStax Enterprise and Apache Cassandra performs well. It also extends the data management benefits for which NetApp enterprise storage is known.

Benefits

<ul>
	<li>Realize faster time to value with DataStax Enterprise and Apache Cassandra with NetApp Astra when delivering business applications&nbsp;</li>
	<li>Clone DataStax Enterprise and Apache Cassandra clusters locally, and even migrate to different geographical locations, allowing for improved application unit and system testing&nbsp;</li>
	<li>Rapid recovery from a disaster, or going back to a point-in-time copy of a DataStax Enterprise or Apache Cassandra cluster</li>
</ul>

Bringing Persistence to Modern Applications with DataStax Enterprise and NetApp

We’ve been hearing how the big clouds will be the end of Open Source for years. News of that demise may be a bit premature. There are some new trends that put Open Source back in the disruptive seat. By way of an example, I’ll use my first-hand involvement with the K8ssandra project and show how Kubernetes is changing the economics of Open Source Software yet again.&nbsp;

If you are new to Open Source and thought it was just about running free software on your laptop, let me open the door to a lot more possibilities and share the keys to success of OSS and the clouds:

<ul>
	<li>Take portability and standards as first class</li>
	<li>Avoid cloud-specific services</li>
	<li>Support OSS companies avoiding the lock</li>
	<li>Deploy data centers, not servers</li>
</ul>

Open Source Strikes Back: K8ssandra and the Cloud

Apache Pulsar is rapidly drawing the attention of forward-thinking enterprises by offering event streaming capabilities similar to Apache Kafka but with features to modernize MQ and JMS based platforms. It's the perfect choice for enterprises who want to consolidate their messaging middleware onto a unified, global, hybrid-cloud messaging platform.&nbsp;

In this webinar, Zeke Dean, a highly experienced architect with expertise in both Kafka and Pulsar, will show you how simple it is to take an existing Kafka application and, with a few easy updates, turn it into a Pulsar application. He will also cover:

<ul>
	<li>The benefits you gain by adopting Apache Pulsar</li>
	<li>A step-by-step process to transform a Kafka app into a Pulsar app</li>
	<li>How to seamlessly migrate message data from Kafka into Pulsar</li>
</ul>

Successfully Migrate a Kafka Application to Pulsar

Enterprises today are increasingly embracing a cloud first deployment model. Running databases in the cloud is a part of this trend. Reduced downtime, better ROI, and agility are a few of the benefits that make cloud database offerings an attractive proposition. However, unlike other cloud offerings, databases are not always portable across cloud providers and can result in cloud provider lock-in. This is fueling the adoption of an infrastructure-agnostic data platform layer that can run on multiple clouds, on-prem data centers, or both in a hybrid fashion.

Join our session with 451 Research, a part of S&amp;P Global Market Intelligence, where we&nbsp;discuss the ins and outs of cloud agnostic and how to make your multi cloud strategy a success.

<ul>
	<li>Cloud and hybrid database adoption trends and drivers</li>
	<li>How to avoid cloud vendor lock-in</li>
	<li>Why cloud agnostic databases are better</li>
	<li>Why Cassandra is purpose built for cloud deployments</li>
</ul>

Why Your Next Database Should Be Cloud Agnostic

Today’s data-driven enterprises are launching new business-critical applications at an incredible pace.

Increasingly, these applications must meet the market’s demand for a smart “next best action” at the point when a user would find it most helpful. The only way enterprises can leverage data as a strategic asset, however, is to integrate data reliably and efficiently into business applications across the entire organization.

From an engineering and operations perspective, building and deploying the data infrastructure necessary for modern software is becoming a challenge. That’s why a streamlined distributed database solution deployable to serverless environments is the way forward for many organizations.

In this whitepaper, we’ll discuss the need for a modern NoSQL database solution like Apache Cassandra, and how DataStax Astra DB can streamline database deployment and management on Google Cloud Platform. We’ll also cover why serverless Cassandra is a game changer because of the many benefits it provides to organizations.

Serverless NoSQL Database

By Carl Olofson, Research Vice President, Data Management Software 
 
This IDC paper discusses the different factors enterprises must consider to choose the right database technologies in the face of the confusing and daunting demands of digital transformation.

Enterprises require technologies that carefully address the workload at hand, which can be operational, streaming, or analytical. They must also consider deployment requirements — on premises, in the cloud, or hybrid, not to mention the organization’s capacity to handle the operational demands and technical requirements of running workloads in the cloud. 
 
Download the paper today to learn more!

Combining Scalable Database Technologies to Achieve Operational Flexibility and Analytic Power, an IDC Analyst Brief

Apache Pulsar is the next generation streaming platform designed from the ground up to address the gaps in current open source messaging and event streaming systems. Companies seeking to adopt a unified messaging and event streaming platform find Pulsar to be an attractive choice due to the many advantages it has to offer.&nbsp;

Join us for this interactive webinar with an Apache Kafka Guru, Zeke Dean, Streaming Data Architect at Datastax, to learn why he now works with Pulsar. In this session, we will compare application development architecture of Apache Pulsar vs. Apache&nbsp;Kafka and also discuss the following features:

<ul>
	<li>Multi-region - Hybrid cloud enabled&nbsp;with built in distributed geo-replication</li>
	<li>Multi-tenancy - Multiple Business units and customers on a single streaming platform</li>
	<li>Advanced messaging symantecs - You can use Pulsar in ways similar to both RabbitMQ and Kafka</li>
</ul>

Introduction to Pulsar from a Kafka Guru’s Perspective

Cassandra 4.0 is here!&nbsp; Apache Cassandra™ 4.0 delivers huge improvements in stability and performance, and reduces the total cost of ownership (TCO) for existing and new installations. Cassandra 4.0 represents the efforts of unprecedented cross-industry collaboration, from the planet’s largest Cassandra users and engineers. As a vote of confidence, even before general availability, those same users were already using Cassandra 4.0 in production, powering the internet’s largest apps.&nbsp;

In this session, Patrick McFadin (VP, Developer Relations at DataStax) will first dive into the 4.0 release. The feature list is long, but it makes 4.0 the biggest, fastest, and most stable database ever especially if you’re going to the cloud. Then we’ll get into the best part. Planning and executing a successful upgrade! Learn about best practices to ensure a successful upgrade and the steps to get you there. Things you’ll learn in this webinar:

<ul>
	<li>Details about enterprise-grade security &amp; observability with real-time audit logging and traffic replay</li>
	<li>How to gain 25% faster throughput on denser nodes</li>
	<li>The critical steps for a successful upgrade</li>
	<li>How tail latency is now up to 7x lower with the new garbage collectors</li>
</ul>

Cassandra 4.0 is here: Why you should upgrade today

Companies around the world are undertaking digital transformation journeys, and application modernization is at the core of a successful transformation. There are a lot of benefits and just as many myths around this topic. It turns out that modernization doesn’t have to be complex or painful and our experts have the latest details on how you can push the easy button on modernizing your applications. Join our fireside chat with&nbsp;Persistent&nbsp;where we&nbsp;talk about:

<ul type="disc">
	<li>Application modernization without the need for a total rewrite</li>
	<li>How to make the modernization process less expensive and time consuming</li>
	<li>Overcoming the skills gap</li>
</ul>

Demystifying Application Modernization

With the different APIs available, it can get frustrating to build an application in a database. 
 
Stargate is an open&nbsp;source data gateway that brings together an API platform and data request coordination code in one OSS project. It abstracts Cassandra-specific concepts entirely from app developers and supports different APIs options removing barriers of entry for new software developers. 
 
During this webinar, you'll hear from experts from Datanaya and DataStax to understand Stargate, why it is different from accessing data in Cassandra historically, and what value Stargate brings for application developers by utilizing Stargate with Astra DB. The experts will also be reviewing today’s available API frameworks and present a hands-on demo in Astra DB! 
 
Bonus: 
Chance to win a $50.00 gift card from the Amazon US store for the most interesting question asked during the event. Let your imaginations run wild!

Unblock Data Access with Stargate for Astra DB and Apache Cassandra

A key challenge for Cassandra users is that while Cassandra delivers the advantages of an always-on, highly scalable, highly performant database, it traditionally required considerable skill to deploy, create applications for and can be expensive to operate. Astra DB addresses these challenges head-on. As a Database-as-a-Service (DBaaS), Astra DB eliminates the need for users to configure infrastructure, manage all the housekeeping, install drivers and reduce cost with a serverless option.

Join us for this webinar with dbInsight and DataStax to learn how a Cassandra-compatible DBaaS&nbsp;can:

<ul>
	<li>Accelerate application development</li>
	<li>Reduce TCO by 80% over on-premise Cassandra</li>
	<li>Reduce architectural complexity&nbsp;</li>
</ul>

Why use a Cassandra-compatible Database-as-a-Service?

Everybody wants data without limits - infinite scale, zero-downtime&nbsp; and software velocity without going over budget. The weapon of choice is Apache Cassandra™,&nbsp;but how do you control data costs and complexity without sacrificing performance? The answer to this is serverless Cassandra! No more nodes, no more servers, no more idle/wasted capacity.&nbsp;

Join us as GigaOm presents the results of their study that empirically validates how serverless Cassandra saved 76% on TCO compared with self-managed Cassandra. Learn:

<ul>
	<li>How to model expected costs of Cassandra workloads</li>
	<li>How serverless Cassandra reduces infrastructure and operational costs</li>
	<li>What are the criteria and tradeoffs for migration decisions?</li>
</ul>

Can't make it to this webinar? Join us on 4/15&nbsp;for the <a href="https://www.datastax.com/resources/webinar/how-reduce-your-total-cost-ownership-cassandra-emea">EMEA&nbsp;broadcast</a>.

How To Reduce Your Total Cost of Ownership for Cassandra

According to Gartner, "Serverless computing is a key technology that is redefining the way we build, consume and integrate cloud-native applications. CIOs can enable agility, elasticity and cost-effectiveness for next-generation applications by using it for appropriate use cases."

View Gartner’s "A CIO’s Guide to Serverless Computing" report to learn:

<ul>
	<li>What Are the Benefits and Limitations of Serverless fPaaS</li>
	<li>How Is Serverless fPaaS Different From Other Virtualization Technologies</li>
	<li>What Are the Primary Use Cases for Serverless fPaaS</li>
</ul>

Gartner Report: A CIO’s Guide to Serverless Computing

Digital transformation is focused on the customer, but the path to successful digital transformation requires enterprises to be more agile, increasingly efficient at product and service delivery, and astute at understanding changing customer needs. In many cases, digital transformation requires enterprises to become more data-driven, adopt tools and technologies that are highly effective at leveraging this data, and execute on compelling use cases identified by this data.

Join leading IT research firm Enterprise Management Associates (EMA) and DataStax for an informative webinar that will:

<ul>
	<li>Provide insights into the attributes of leading enterprises that are pursuing digital transformation</li>
	<li>
	Explain how being data-driven is leveraged by these enterprises to support both existing customer needs and attract new customers
	</li>
	<li>
	Outline best practices based on comparing the performance of data-driven leaders vs. laggards
	</li>
</ul>

&nbsp;

What It Takes to Be a Leading Data-Driven Enterprise

Many organizations are currently assembling their cloud migration tactics to migrate their existing applications away from a solely on-premises platform approach. Recognize that migration is just a stop-gap effort in modernizing the data architecture and application landscape. Forward-thinking organizations are simultaneously considering their future strategy for&nbsp;building&nbsp;their data applications in the cloud.

The key to the cloud development strategy is&nbsp;simplicity.&nbsp;However, many cloud hosts provide a wide palette of computing, storage, and other value-added services, so application and data architects can get confused when trying to determine the right components to add to the mix. In this webinar we consider approaches that simplify the ways modern data applications are built in the cloud through adoption of more sophisticated “as-a-service” platform capabilities. Working with platform vendors, your organization can simplify development of applications that span multicloud environments and reduce time to value, while ensuring scalability.

Attendees will learn about:

<ul>
	<li>Leveraging the right cloud-native capabilities</li>
	<li>Database-as-a-service</li>
	<li>Ensuring application scalability</li>
	<li>Integrating data security</li>
	<li>Addressing concerns about cloud vendor lock-in</li>
</ul>

Building Modern Data Applications in the Cloud

Companies are accelerating digital transformation efforts by developing rich, responsive applications that leverage massive data. Apache Cassandra™ as the underlying data store is often seen as the perfect fit to making this a reality because it’s highly scalable with 100% uptime. However, Cassandra is not without its challenges: it’s hard to standup and maintain, hard to create applications for and can be expensive. Astra DB, a Cassandra-compatible Database-as-a-Service&nbsp;on Google Cloud Platform, can address these challenges head on. 
 
Join us to learn how Astra DB can help developers:

<ul>
	<li>Create applications faster,</li>
	<li>Reduce the administrative burden for operators</li>
	<li>Streamline architectural considerations with its serverless, API first approach.</li>
</ul>

 
We will wrap up with live demo of a rich, interactive application built on Astra DB.

How to Build Modern Apps Faster with Cassandra and GCP

Our Story from Chet Kapoor, CEO of DataStax

Avez-vous un projet d’application moderne,&nbsp;nécessitant des données massives en temps-réel, avec zéro temps d'interruption, exposées&nbsp;par de simples API, permettant des interactions riches et performantes, fonctionnant sur tout type d’infrastructure (interne ou cloud privé/public) ?&nbsp;

De la création de votre propre instance, à l'utilisation d'une application de données moderne, en communiquant via la Data Gateway (Stargate), nous vous accompagnerons dans chacune de ces étapes !

Rejoignez David Leconte, Lead Data Architect et Yahya Jarraya, Global Sales Manager de DataStax France pour une introduction et une démonstration aux applications modernes (1ere utilisation d’Astra DB, base de donnée construite à partir d'Apache Cassandra as a service + usage de l’API gateway pour une manipulation d’API Rest/GraphQL ainsi que Json Document).

Agenda:

<ul>
	<li>Introduction à la stack open source et multi-cloud de DataStax</li>
	<li>Démonstration: Application en temps-réel utilisant Rest/GraphQL et JsonDocument sur Astra DB</li>
	<li>Q&amp;A</li>
</ul>

Découvrez la stack multi-cloud et open source construite avec Apache Cassandra™

DataStax Astra DB is a fully managed Database-as-a-Service (DBaaS), providing a simplified experience for Apache Cassandra ™ deployment and application development. With self-service options, sample apps and pay-as-you-go pricing, Astra DB&nbsp;has removed the complexity from starting up and getting up to speed on Cassandra.&nbsp;

Why use Astra DB? In this whitepaper by dbInsight, learn about Astra DB’s key features and how it eliminates the need for enterprises to configure infrastructure, perform deployment, manage all the housekeeping, and reduces total-cost-of-ownership (TCO) with an elastic (serverless) delivery model.

Why Enterprises Need DataStax Astra DB

In 2021, customers expect personalized, one-of-a-kind experiences. Delivering those through market-winning apps requires leveraging the right data at the right time. Are you well equipped to enter this new era of real-time data and analytics? Join Bryan Kirschner for a discussion and learn about:

<ul>
	<li>How fast data, real-time, and streaming come together to deliver exceptional customer experiences</li>
	<li>Going from incidental to intentional event-driven architecture</li>
	<li>What you need to know to start your journey</li>
	<li>Real life examples how digital native companies enabled differentiated user experiences</li>
</ul>

Smart Apps Win: Why “Fast Data” Is The New Gold

Databases have always required constant effort to set up, maintain, scale, shard, and replicate which has delayed teams from going to market quickly. Today, database simplicity for application developers is taking the form of serverless cloud databases that provide fluent, well documented, industry standard APIs -- APIs that are secure, easy to use and always on. Join us for this webinar with The New Stack and DataStax to learn how modern, open data stacks enable:

<ul>
	<li>Faster time to market for modern data apps</li>
	<li>Elastic scale for peak demands and inactivity</li>
	<li>Reduced TCO by 3x and eliminate overprovisioning</li>
</ul>

Why a Serverless Data API Might be Your Next Database

<a href="http://stargate.io">Stargate</a> is an open source data API gateway that is now available with both DataStax Enterprise and Astra DB. Developers can now use GraphQL,&nbsp;REST, and Schemaless JSON, so predefined schemas aren’t needed to start coding. Stargate gives you simple APIs that work with your favorite languages and frameworks, accelerating development and reducing the learning curve for developers.&nbsp;

Join Denise Gosnell, Distinguished Engineer at DataStax and Paras Mehra, Product Manager at DataStax, for our upcoming webinar where we discuss and demonstrate:&nbsp;

<ul>
	<li>How does the Stargate Data API gateway work with Cassandra?</li>
	<li>How does Stargate fit into a Cassandra-based architecture?</li>
</ul>

&nbsp;

&nbsp;

DataStax Enterprise

Create new apps faster on the world’s most proven NoSQL database

Join us for an introduction to Astra DB, a Database-on-a-Service built on Apache Cassandra, and how it can be deployed in the Google Cloud.

In this webinar you’ll learn:

<ul>
	<li>What is Astra DB</li>
	<li>Astra DB in the Google Cloud Ecosystem</li>
	<li>Astra DB on GCP: Architecture Teaser</li>
</ul>

Introduction to Astra DB: Cassandra-compatible Database-on-a-Service on Google Cloud

Locstat uses both geospatial and real-time rules engine engineering in its products and solutions for customers across government, defense, safety and security, mining, finance, and retail industries. Powered by Cassandra and other open source solutions, Locstat is able to provide its clients with innovative IoT solutions, such as geospatial risk management for a marine mining company that uses ships to extract minerals from the sea bed.

In this webinar, Ryno Goosen, CTO and Managing Director at Locstat will cover;&nbsp;

<ul>
	<li>How the team decided what open source technologies to use&nbsp;</li>
	<li>Why they decided to use DataStax Enterprise for their solution&nbsp;</li>
	<li>How their solutions are able to scale with 0 downtime. </li>
</ul>

50M data transactions a day with Cassandra

Database workloads are shifting to the cloud. While cloud and hosted environments account for 45% of the primary deployment locations for data and analytics workloads today, that proportion is expected to increase to 72% in 2020, according to 451 Research’s Voice of the Enterprise: Cloud, Hosting &amp; Managed Services Workloads &amp; Key Projects 2020 survey.&nbsp;

What is driving enterprises to adopt cloud-native technologies? In this whitepaper by 451 Research, learn about the barriers to successful data and analytics initiatives and the benefits of migrating database workloads to the cloud.

DataStax Astra

451 Research: Benefits of Migrating Your Database to the Cloud 

There is a great deal of hyperbole surrounding Machine Learning and Artificial Intelligence.&nbsp; How much of it is real?&nbsp; How much is just noise?&nbsp; And should you, a business leader, even care?&nbsp;

Consider that an Accenture study stated: “Seventy-five percent of executives “believe they risk going out of business in 5 years if they don’t scale AI”.&nbsp;

Conversely, Pactera released a study that stated: “Despite increased interest in and adoption of artificial intelligence (AI) in the enterprise, 85% of AI projects ultimately fail to deliver on their intended promises to business.”

So how do make sense of this?&nbsp; Reconcile diametrically opposed perspectives.&nbsp; And once you do decide on a path forward, how do you successfully bridge the chasm between where your organization presently finds itself, and where you want to be? 

Join us in this joint DataStax and F33.ai webinar and learn more about the future of AI/ML.&nbsp;

Why Should Business Leaders Care About ML-AI

Most of our Enterprise customers use event streaming together with Apache Cassandra™. Two popular open-source event streaming platforms are Apache Kafka ™ and Apache Pulsar ™.&nbsp;How do they compare and what are the benefits of using a distributed event streaming platform for building modern data applications?

Join developer advocates from DataStax to learn

<ul>
	<li>Basics of Apache Pulsar and Apache Kafka</li>
	<li>Objective comparison of two technologies</li>
	<li>A demo of using Pulsar to stream data into Cassandra </li>
</ul>

Can't make it to this webinar? Join us on 2/25&nbsp;for the EMEA <a href="https://www.datastax.com/resources/webinar/how-apache-pulsar-can-help-you-build-c-applications-emea">broadcast</a>.&nbsp;

Apache Kafka or Apache Pulsar For Scale-out Event Streaming?

In today’s data-driven enterprise, getting real time analytics into your systems and applications is just as critical as the applications themselves. In order to do so, organizations must adopt technologies to enable a flawless customer experience and deliver large datasets into usable workflows for operators and management.&nbsp;

Apache Spark™, the unified analytics engine for big data processing, and Astra DB, the always-on, and cloud-native database platform built on Apache Cassandra™, are built specifically to fit the needs of modern, next-generation business applications.

In this webinar, you will hear experts from Datanaya and DataStax on how these products integrate together and form a data ecosystem fit for the future. We’ll include discussion on the following:

<ul>
	<li>How organizations can become more data driven&nbsp;</li>
	<li>What factors your team must consider when choosing a new technology stack</li>
	<li>Demo of a data analytics application using Astra DB and Spark</li>
</ul>

Getting Real Time Insights using Cassandra and Spark

Enterprises that rely on data to make decisions are 58% more likely to beat their revenue goals compared to their ‘laggard’ counterparts. &nbsp;[Forrester, 2020]. For an organization to thrive in today’s customer-centric, data-driven economy, it cannot fall behind without impacting revenue and valuations.

Join us for a discussion and learn more about:

<ul>
	<li>Staying ahead of the curve of industry trends and developments</li>
	<li>Why you should measure every aspect of your customers’ journey</li>
	<li>How to proactively identify pain points and turn them into opportunities</li>
</ul>

Customer Journey Optimization

The most stable and battle-hardened major release of Apache Cassandra™—tested by Apple, DataStax, Instagram, Netflix, and dozens others—has arrived. Various innovations and enhancements in Cassandra version 4.0 have resulted in improved performance and reduced costs. The amazing performance boost and lower TCO of Cassandra 4.0 position it as the default platform for enterprises to build fast data experiences for customers that deliver reactive engagement at the point of interaction. 
 
Cassandra 4.0 has increased the number of requests it can process per second by 25% to 70% while reducing the "tail latency" for those requests by a factor of 7; and with the addition of backpressure management, applications can now verifiably achieve peak performance. These improvements are complemented by enhancements to the compaction and repair maintenance process that reduce memory, disk IO, and CPU usage dramatically, resulting in greater system stability. Put all these improvements together and Cassandra 4.0 is faster and cheaper to operate than any previous version. 
 
If you’re considering Cassandra or running an older version, now is the time to jump on the 4.0 bandwagon.

Cassandra 4.0 Doubles Down on Performance and Reliability to Create Fast Data Customer Experience

The transformation of traditional OLTP and OLAP drives a new modern data framework, particularly in the analytic space of NoSQL and extremely large data estates. How megatrends like 5G, multi-cloud, and edge computing open up new business use cases and increase the value data insights brings to customers leads the investment in modernizing data frameworks.

Different use cases require different data shapes, or data model types, and to get real-time insights technology leaders can’t let ETL processing slow down the business.&nbsp; This modernization phases in new capabilities that modernize the business through a modernization of the data framework.

Modern Data Framework

We’ve known for some time that the future of business is digital. Now we are seeing more and more that the future of every digital business is data-driven because the core competencies of each strategy complement and reinforce each other.

Key takeaways from this whitepaper:

<ul>
	<li>Three-quarters of organizations that identify as ‘highly advanced’ on both ‘digital transformation’ and ‘progress toward the data-driven enterprise’ have increased their pace of innovation as a result of the changes they’ve made to adapt to the pandemic.</li>
	<li>A majority of these enterprises attribute at least 10 percent of revenue to data and analytics.&nbsp; For these data-driven enterprises, alignment across corporate strategy, digital transformation plans, and data strategy is paying off.&nbsp;</li>
	<li>These leaders are nearly twice as likely to identify both ‘strategy’ and ‘technology’ infrastructure as competitive advantages as compared to organizations that are at the earliest stage of both journeys.</li>
</ul>

&nbsp;

Data-Driven, Digitally Transformed - Lessons From Leaders

Nearly every web, mobile, and Internet-of-Things (IoT) application have search functionality that helps users locate the information they want. Depending on the industry and need, the search requirements for an application may be very simple or astonishingly complex.

This paper describes:

<ul>
	<li>
	The general search requirements that most web, mobile, and IoT applications have, and the common ways enterprises have tried to deploy search systems in the past.&nbsp;
	</li>
	<li>
	How NoSQL database systems are fast becoming the standard database platform for modern and scalable applications.
	</li>
	<li>
	Why DataStax Enterprise, with its integrated enterprise search capabilities, can make developing powerful search components for an application fast, easy, and cost-effective.
	</li>
</ul>

Implementing Search in Web, Mobile, and IoT Applications

Practically all enterprises today are either in the process of developing modern applications or are transforming relational workloads into modern, NoSQL workloads. Both efforts require a new kind of data platform that can handle the demands of modern workloads for high performance, always-on availability, and linear scalability; a data platform that supports cloud-based, microservice-oriented architecture, and provides developers with a simple and consistent backend to process their applications’ data without the overhead of complex database administration.

DataStax Astra DB is a powerful yet flexible data platform that allows developers to use the languages and frameworks of their choice to build their applications, without requiring them to become experts on operating a database. With Astra DB, enterprises can can now benefit from a database-as-a-service that provides:

<ul>
	<li>Accelerated development: access a cloud native data platform with all of the power of Cassandra in less than 5 minutes.</li>
	<li>Availability via APIs: avoid the complexities of any particular database technology and utilize standard APIs such as REST, GraphQL, and schemaless JSON.</li>
	<li>Freedom of cloud choice: quickly and easily develop on a cloud native platform and deploy to any cloud, on-prem, or hybrid cloud.</li>
	<li>More coding, less ops: focus on developing innovative features, and let Astra DB take care of operations.</li>
</ul>

Backing Modern Microservices with a No-Ops Data Platform 

La crise sanitaire que nous&nbsp;traversons&nbsp;a&nbsp;montré&nbsp;le poids du risque opérationnel lié aux infrastructures.&nbsp;Le confinement&nbsp;de mars 2020, dans sa rapidité d'exécution,&nbsp;sa&nbsp;durée et&nbsp;son périmètre&nbsp;géographique, a&nbsp;désorganisé&nbsp;bon nombre de grandes entreprises, y compris celles réputées parmi les plus préparées à des risques majeurs.&nbsp; 
 
Quelles&nbsp;technologies&nbsp;permettent de capter de larges volumes de données&nbsp;en temps réels, pour les&nbsp;exposer de manière hautement disponible et&nbsp;ce, pour toutes les interactions transactionnelles, analytiques et prédictives ?&nbsp;En quoi&nbsp;les bases de données NoSQL multi-modèles apportent-elles&nbsp;une contribution&nbsp;dans la réponse organisationnelle et technique&nbsp;?&nbsp; 
 
Dans ce&nbsp;webcast,&nbsp;DataStax&nbsp;et Le Monde Informatique&nbsp;présentent&nbsp;les piliers sur lesquels les entreprises doivent construire leur résilience,&nbsp;pour faire de la transformation numérique&nbsp;un vecteur de survie et de gains d'opportunité.&nbsp;

Pourquoi accélérer maintenant la transformation numérique? Les leçons tirées du COVID-19

Organizations are increasingly seeking technologies that simplify the deployment of their application workloads in a multi-cloud design. Whether to optimize the costs of running and managing private cloud or to enable developer velocity to efficiently build the modern, intelligent applications of tomorrow, the benefits of multi-cloud offerings are an attractive proposition for enterprises.&nbsp;

Based on a global survey conducted by Forrester, 86% of enterprises have adopted a multi-cloud strategy due to shifting business priorities.&nbsp;&nbsp;

In this whitepaper you will find the top four reasons to consider a multi-cloud strategy and deployment:

<ul>
	<li>Freedom of choice - Multi-cloud provides organizations flexibility and freedom of choice to host their applications and data anywhere, on any device and on any cloud at global scale.</li>
	<li>No single cloud provider lock-in - 73% of the enterprises consider multi-cloud to avoid single cloud vendor lock-in. It can be very arduous for organizations to switch to another cloud provider when locked in to one, and; any such migration becomes time-consuming, technically difficult, and extremely expensive</li>
	<li>Higher return on investment (ROI) - 65% of the enterprises consider competitive pricing as a compelling reason to make a strategic shift to multi-cloud.&nbsp;</li>
	<li>Reduced downtime - Even though public cloud providers typically offer availability SLA of up to three 9s, it is critical that businesses distribute core workloads across multi-cloud infrastructure to reduce the possibility of downtime.</li>
</ul>

Why Multi-Cloud is Imperative to Any Modern Data Strategy

Products fueled by data and machine learning can be a powerful way to differentiate your offer. They can also create a way to gain a major competitive advantage. Classic examples include Netflix content and Amazon product recommendations, both of which improve as more users engage. Register for our upcoming webinar to learn how to:

<ul>
	<li>Build a lure of a more relevant product, service, or experience</li>
	<li>Deliver real-time personalization to increase engagement and loyalty</li>
	<li>Grow revenue by delivering an exceptional customer experience</li>
</ul>

Accelerating Data-Driven Experiences

Join Data Coalition, DLT, and DataStax on December 3 to discuss the practical steps to address how to create a balanced, representative data ecosystem for the US government.

<a href="https://www.datacoalition.org/event/creating-a-balanced-representative-data-ecosystem-steps-for-meaningfully-applying-diversity-inclusivity-and-equity-in-a-data-driven-government/">Register Today</a>!

Creating a Balanced, Representative Data Ecosystem 

Apache Cassandra™ 4.0 delivers huge improvements in stability and performance, and reduces the total cost of ownership for existing and new installations. It brings to life years of collective experience from the planet’s largest Cassandra users and engineers.&nbsp;

Join Aaron Morton (formerly of The Last Pickle), Patrick McFadin, and Josh McKenzie for a deep-dive into the 4.0 release (currently in beta3), including:

<ul>
	<li>Enterprise-grade security &amp; observability with Real-time Audit Logging and Traffic Replay</li>
	<li>Faster bootstrap and recovery from node outage with zero-copy streaming</li>
	<li>Up to 25% faster throughput on denser nodes</li>
	<li>Major operator improvements across many domains</li>
	<li>Client backpressure</li>
	<li>Oh, and over 800 bug fixes!</li>
</ul>

Bring your questions, come chat with us and see why Cassandra 4.0 is the biggest release and most stable release in the project's history.

Cassandra 4.0 Preview: The Most Reliable, Elastic, & Fastest Cassandra Ever

Introducing Astra DB: Cloud-Native Database Built on Apache Cassandra

“Low and slow” may make for great barbecue, but not a winning data strategy. Enterprise IT’s effectiveness rallying to meet the challenge of disruption caused by the coronavirus has shown that aiming higher and moving faster was within reach all along.&nbsp;Join to benchmark where your organization stands on 7 data-driven ways to continue the momentum that was born of necessity and raise your data-driven game.

<ul>
	<li>How has adapting to the implications of the pandemic impacted productivity and the pace of innovation?</li>
	<li>Where is the “low hanging fruit” to raise your organization’s game on creating data products?</li>
	<li>What equips organizations to excel at creating new revenue streams from data?</li>
</ul>

Enterprise, Unlocked: 7 Data-Driven Steps to Raising Your Data Driven Game

In this ebook, The New Stack provides a grounding in the basics of Kubernetes. The goal is to provide a foundation of understanding about what distinguishes the concepts of control planes, worker nodes, service discovery, storage and networking. It explores how Kubernetes delivers the capabilities of web-scale computing, adoption patterns and its role as a universal aspect of a company’s core infrastructure.

The State of the Kubernetes Ecosystem

We asked hundreds of organizations about their top priorities for their data strategy and the steps they are taking to execute against them. Whether your organization is focused on customer satisfaction and loyalty or margin and market share, learn out what patterns and practices are giving the leaders confidence that they are outperforming their competition at using data to achieve business goals.

<ul>
	<li>What combination of roles, responsibilities, and executive sponsorship increase data velocity?</li>
	<li>What’s the right balance between investing in making the most of internal data versus discovering and acquiring external data?</li>
	<li>What does it take for an organization to feel confident “our data infrastructure is aligned with our data strategy?”</li>
</ul>

Data-Driven Enterprise: Success Factors for Competitive Advantage

Join us for this virtual, hands-on workshop hosted by DataStax for <a href="https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america/">KubeCon + CloudNativeCon North America</a>!

(Registration Now Closed)

Deploying a scalable, elastic and self-healing data plane in Kubernetes should be easy. In this workshop we’ll show you how to do it with ready to go tooling that gives you everything you need to be successful. Apache Cassandra™ combined with Kubernetes compliment each other so well, you’ll wonder why you haven’t tried it before.&nbsp;

Don’t compromise on your choice. You can use the same database that has been making a difference at companies like Home Depot, Netflix and Apple without having to become an expert at distributed systems. Data use cases from financial services transactions to entertainment streaming services all rely on Cassandra and impact our daily lives.&nbsp;

In this workshop, we will introduce you to how Cassandra’s architecture and logical fault domains are complimented by Kubernetes. You’ll take a typical containerized application and deploy it with a fully automated data service backed by Apache Cassandra. Move fast with confidence and very few trade-offs. Don’t miss it!

All attendees will receive a FREE Cassandra certification voucher ($145 value).

[Workshop] Putting Apache Cassandra™ on Automatic with Kubernetes

You are ready to commit executive attention to the data strategy. You are embracing the modern stack for building reactive, intelligent applications. Your organization is ready to lean in to the best practices proven by today’s cutting edge data-driven enterprises in order to achieve comparable growth in revenue and valuation.

Now you have some choice to make:

<ul>
	<li>How can your data strategy build on what’s distinctive about your organization’s culture?</li>
	<li>How can you retool processes and incentives to make the most of your strengths?</li>
	<li>What “North Star” will lead you beyond adopting proven practices toward a unique and differentiated position as a data-driven enterprise?</li>
</ul>

Differentiating as a Data-Driven Enterprise

An estimated 20 to 30 billion IoT devices will be connected to the Internet by 2020 and an innumerable number of sensors will be connected to those devices. Considering the continued expansion of the IoT market and the desire to become a data-driven enterprise and achieve ultimate customer experience, organizations are expanding their capability to acquire, store, and analyze time series data more than ever.

DataStax invites you to join this webinar and participate in a discussion regarding:

<ul>
	<li>Common challenges encountered when working with time series data</li>
	<li>How DataStax Enterprise (DSE), powered by Apache Cassandra™, is uniquely suited for time series data&nbsp;</li>
	<li>A real-world, DSE enabled, use case that details the analysis of seismic data at “the edge”</li>
</ul>

Time Series Data Management at Scale with Apache Cassandra™

Secondary indexing in Cassandra has evolved over time, but has never really solved the usability issues with creating indexes. A new indexing technology was just introduced to the Apache Cassandra project called Storage Attached Indexing (SAI) and you are going to love it!

Drink a cup of coffee and prepare yourself for a deep dive into how it works, how it is different and mostly, how do you use them? DataStax is dedicated to making Cassandra easier to use for everyone and SAI is a major step in that direction. This is a talk for both operators and developers to understand this exciting new technology.

Everything You Need to Know About Storage Attached Indexing in Apache Cassandra™

DataStax Astra DB simplifies cloud-native application development, and reduces time to install, deploy and scale from weeks to minutes. Astra DB eliminates operational overhead, the biggest obstacle to using Apache Cassandra, the open-source NoSQL database behind the largest applications in the world, including Netflix and Instagram.

DataStax Astra DB

Open sourcing a Cassandra automation framework with Ben Covi

Spring Data with Mark Paluch

Road to Cassandra 4.0 with Josh McKenzie

Organizations are leveraging big data applications to underpin scalable applications across every industry. Whether it’s transactional data for banking or inventory and recommendation systems in retail, Apache Cassandra is the defacto choice for storing critical data in distributed applications. VMware and DataStax have partnered to offer a joint solution that provides built-in high availability and failure protection across availability zones, regions, data centers, and clouds, which simplifies operations and eliminates silos with consistent processes and tooling across clouds, and offers intrinsic security for data-at-rest and in-flight.

DSE VMware Cloud Foundation

Now that you’ve had an introductory course into what Astra DB&nbsp;is, it’s now time to learn how to migrate open-source Cassandra on to&nbsp;Astra&nbsp;DB on Google Cloud with real world examples.

In this webinar you’ll learn about:&nbsp;

<ul>
	<li>Updating&nbsp;database connection code</li>
	<li>Refactor for best-practices</li>
	<li>Connect Google Cloud Dataproc with Astra DB</li>
</ul>

Migrate Open Source Cassandra to Astra DB on Google Cloud

&nbsp;

Join us&nbsp;for an introduction to Astra DB, Cassandra-as-a-Service, and how it can be deployed in the Google Cloud.

In this webinar you’ll learn:

<ul>
	<li>What is Astra DB</li>
	<li>Astra DB in the Google Cloud Ecosystem</li>
	<li>Astra DB demo&nbsp;highlighting Storage Attached Indexes (SAI)</li>
	<li>Astra DB on GCP: Architecture Teaser</li>
</ul>

Introduction to Astra DB: Cassandra-as-a-Service on Google Cloud

When making the decision to explore or use the serverless database-as-a-service built on Cassandra, you want the peace of mind that DataStax Astra DB can be trusted in the cloud. You want to ensure that it can prevent security breaches and mitigate their negative consequences, and that only authorized users and applications can access data.&nbsp;This whitepaper provides insights into how Astra DB implements programs, policies, and features to run mission-critical workloads securely and at scale.

<ul>
	<li>Service Overview - A brief overview of Astra DB's serverless database-as-a-service platform</li>
	<li>Information Security Programs and Policies - Describes how DataStax follows information security best practices and policies to ensure Astra is trusted in the cloud</li>
	<li>Database Security Features - Describes the database security features that are included in Astra DB</li>
</ul>

DataStax Astra DB Security Overview

In this whitepaper you will learn how to integrate DataStax Enterprise (DSE) with Microsoft Active Directory Server (MS AD). The paper is a culmination of learning's from architects working with enterprises in the field, and provides greater insights into the integration and capabilities. The paper covers common scenarios with demonstration like- How to build DSE server over MS AD as a Kerberos server for authentication, as well as LDAP server for authentication and/or authorization.

DSE and OpsCenter with LDAP and Kerberos

Data-driven enterprises use data to redefine the value propositions they offer to customers, at a pace and scale that grows their business. Data-driven enterprises also know that aligning architecture, tools and processes, and culture is necessary to do this well, safely, and fast. To help “doers learn from doers,” DataStax surveyed 1,400 CIOs, executives, and hands-on technical practitioners about their company’s progress toward the data-driven enterprise.&nbsp;

This whitepaper summarizes key findings and provides an opportunity for you to benchmark where&nbsp; your organization stands in relation to the global leaders.

&nbsp;

Progress Toward the Data-Driven Enterprise

How fast can you build a cloud-native app on a Database-as-a-Service built on Apache Cassandra? What new APIs and familiar open-source tools are at your disposal? How many can we demo in 50 minutes?!

Join DataStax Cloud Engineering leaders&nbsp;for 10 rapid-fire demos of how to use Astra DB,&nbsp;the Cassandra-compatible DBaaS, including:

<ul>
	<li>Postman to access Cassandra</li>
	<li>NoSQLbench and DSBulk&nbsp;&nbsp;</li>
	<li>GraphQL&nbsp;</li>
	<li>Geospatial Search</li>
	<li>VPC Peering with Astra DB</li>
	<li>Managing Users</li>
	<li>Adding Keyspaces</li>
	<li>and more!&nbsp;</li>
</ul>

10 Clever Astra DB Tricks

The 21st Century Cures Act accelerates innovation in the healthcare industry. &nbsp;By putting patients in charge of their health records, and enabling modern healthcare applications with APIs, patients, providers and insurers will benefit immensely. &nbsp;These new critical healthcare infrastructure components are key building blocks toward a value-based health care system.

Are existing healthcare IT architectures ready for the kind of data volume, workload, uptime, and response time requirements that patients will demand of modern mobile, tablet, and web-based applications?

Join Principal Strategy Architect Ankit Patel from DataStax and Steve Munini, CEO and CTO of Helios Software to discuss NoSQL Database Cassandra™ has been successful in healthcare.

<ul>
	<li>Basics of NoSQL Apache Cassandra™</li>
	<li>21st Century Cures Act Final Rule Overview</li>
	<li>HL7® FHIR® compliant Helios Server runs on Cassandra for clinical data solutions</li>
	<li>Designing Data Platform with DataStax</li>
	<li>Migrations from Mainframe/RDBMS to Cassandra</li>
</ul>

Transforming 21st Century Healthcare IT Challenges with NoSQL Apache Cassandra™

Is your organization aligned to make a paramount shift while remaining relevant now and in the future? How could a strategic partner help accelerate your transition from operational data to information that drives the enterprise?

Download this whitepaper to learn how companies around the world partner with DataStax to build information-driven operating-models that drive success and innovation. DataStax has the expertise and the predictable platform of Cassandra that allows for fast time to market at scale with high security and innovative capabilities to meet your ever-changing business needs.

Cassandra: A Predictable Platform  Powering Transformational Business Outcomes

The role of IT is no longer only to keep the systems running; it’s to deliver applications that provide a competitive advantage–and that means getting the most out of a limited budget and innovating fast.

But mainframe maintenance and ever-increasing mainframe millions of instructions per second (MIPS) expenses continue to take a big bite out of budgets, in some cases consuming 40 percent or more. Download this whitepaper to learn how to cut MIPS and boost innovation velocity.

Building a Risk-Mitigated Roadmap to Modernize your Mainframe Investments

Apache Cassandra™&nbsp; is the practitioner’s choice for massively scalable, geo-distributed applications and services that use large volumes of data with no tolerance for downtime.

Cassandra is among the most successful NoSQL databases today, the proven choice of the largest applications on the internet from Netflix to the Fortune 100.

That said, the challenges of constructing globally-distributed applications at extreme scale are daunting.&nbsp; Fortunately, the Cassandra community has an arsenal of tooling to simplify each stage of operating, integrating, and developing applications with Cassandra.

In this paper, tailored for a technical audience with moderate experience with database systems, we discuss the range of utilities at your disposal for building and running successful Cassandra applications.

Apache Cassandra Tools and Drivers

​​​Join DataStax product leaders Aaron Morton, Patricia Gorla, and Patrick McFadin&nbsp;for a first look at DataStax Vector, an AI Ops service for Apache Cassandra™. This is the fast-track to expert level operation of Cassandra without the years of experience. We’ll discuss and demo how Vector provides:

<ul>
	<li>Automated expert advice to proactively identify&nbsp;current and potential issues&nbsp;</li>
	<li>Continuously updated advice is automatically applied to clusters</li>
	<li>Advanced visualizations to understand tables, keyspaces, and nodes</li>
</ul>

A First Look at DataStax Vector - AI Ops for Apache Cassandra™

DataStax Consulting for Open Source Apache Cassandra® (OSC) provides the Luna Health Check service package for a complete diagnostic scan of your cluster to help troubleshoot and improve your Cassandra configuration. The Health Check offers significant risk mitigation by conducting a detailed review of your Cassandra cluster operation and configuration and delivers an actionable remediation plan from a seasoned Cassandra expert.

Apache Cassandra™

DataStax Luna - Health Check

Spark-Cassandra Connector 2.5 with Russ Spitzer

Join DataStax&nbsp;for first impressions and a migration case study of&nbsp;Astra DB, the Cassandra-compatible DBaaS, with Brian Hall of Expero hosted by Jim McCollum and Matt Kennedy from the DataStax cloud team. We’ll discuss and demo:

<ul>
	<li>Porting a visually complex Supply Chain app built on React and Cassandra to Astra DB</li>
	<li>Lessons learned using REST and GraphQL to create Cassandra data services&nbsp;</li>
	<li>Astra DB’s technical stack and use of the Kubernetes Operator&nbsp;</li>
</ul>

First Impressions: Migrating an App to Astra DB Database-as-a-Service

Join Théo Lebrun, Cloud and Data Solutions Architect at Ippon Technologies USA, and Michael Waldrop, Director of Data Architect at DataStax as they discuss how a transformational data architecture built on Apache Cassandra™ is used by leading financial institutions to drive improved customer experience and adopt a cloud-native approach to provide necessary availability, agility, and security around their data.

Banking and Financing

Successful scale-out data approach for Financial Services with Apache Cassandra™

Join us on June 4, at 2pm BST for the Technology Modernisation Series: NoSQL Database Management

In this webinar, part of our Technology Modernisation Series, we are looking at the business case for upgrading your RDBMS to a more current data architecture so as to meet the demands of modern applications. We’re delighted to be joined by Brian Mortimore, Principle Architect, Datastax.

Talk 1; 
Migrating RDBMS Monoliths Into a Transformational Data Architecture

Modern application demands for scale, uptime, and distributed low latency access are pushing RDBMS technologies past the breaking point. Modern data platforms such as Apache Cassandra offer hope but data models and architectures are vastly different. How do you bridge the gap?

Watch as Brian Mortimore from DataStax discusses how your DB2 or Oracle enterprise can take advantage of Cassandra today. He will discuss:

<ul>
	<li>How does Cassandra compare with relational in terms of data models and architecture?</li>
	<li>How can an enterprise migrate from relational to NoSQL without any downtime?</li>
	<li>Can you just offload some of the more expensive RDBMS functions to Cassandra?</li>
</ul>

Technology Modernisation Series: NoSQL Database Management

Is Self Driving Data Infrastructure Our Future? 

What You Need to Know to Deploy Cassandra in Kubernetes

How Does Sky UK Stay Grounded with Cassandra and Kubernetes

Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll learn to:

<ul>
	<li>Build an example application architecture with relational and graph technologies</li>
	<li>Use graph technology to build a Customer 360 application, the most popular graph data pattern today</li>
	<li>Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data</li>
	<li>Find paths in graph data and learn why your trust in different paths motivates and informs your preferences</li>
	<li>Use collaborative filtering to design a Netflix-inspired recommendation system</li>
</ul>

Get your free preview (Chapters 3-5) today! 

<img src="https://www.datastax.com/sites/default/files/content/ebook/2020-05/front_cover.png" />
<style type="text/css">.resource-image {
display:none;
}
</style>

The Practitioner’s Guide to Graph Data:  Applying Graph Thinking and Graph Technologies to Solve Complex Problems

Benchmarking NoSQL with Jonathan Shook and Mick Semb Wever

Today’s enterprises are handling more data than ever before - and no database handles large volumes of data better than Apache Cassandra™ and DataStax Enterprise.

While this data has increasing value to the enterprise, it also becomes a target for theft.

Join Richard Lewis, Data Architect Lead for DataStax and Andrew Lance, Principal at Sidechain Security as they discuss a framework for assessing and mitigating risk for your data stored in Apache Cassandra™.&nbsp;

We’ll discuss:

<ul>
	<li>Understanding what sensitive data is stored</li>
	<li>Using classification levels to design appropriate security requirements</li>
	<li>Implementing security best practices</li>
	<li>Performing a security assessment</li>
</ul>

Securing Data in Apache Cassandra™

Cassandra Performance Roadmap with Kathryn Erickson

Data-driven enterprises have a secret weapon. They ask the right questions to think bigger while building alignment to move faster. They inject data science deeply into their culture enabling better, faster, more rigorous decision-making. 
 
How?&nbsp;Watch this on-demand discussion&nbsp;with two of the world’s top experts in data economics and digital business. 
 
Professors Marshall Van Alstyne and Geoffrey Parker are winners of the Thinkers50 2019 Digital Thinking Award and will be joined by DataStax Strategy VP Bryan Kirschner to discuss:

<ul>
	<li>What is a data-driven enterprise? Why is this especially relevant today?</li>
	<li>How do leaders create value and competitive advantage using data?</li>
	<li>How can you articulate the benefits of a data-driven enterprise strategy?</li>
	<li>What is the road map to get started?&nbsp;</li>
</ul>

The Secret Weapon for a Data-Driven Enterprise

Watch DataStax product leaders Denise Gosnell and Matthias Broecheler&nbsp;- the authors of the recently released “The Practitioner’s Guide to Graph Data” book -&nbsp;for a deep dive into graph databases and the 5 most common mistakes to avoid. We’ll also cover: &nbsp;

<ul>
	<li>Why and when to use graph technology?&nbsp;</li>
	<li>How do you ‘think in relationships’? What data model should we use?</li>
	<li>Why is my query taking so long?</li>
	<li>Why is my query running out of memory?</li>
</ul>

Graph Database Town Hall – 5 Common Graph Database Mistakes to Avoid

Resource Library

Run DataStax Enterprise on VMware Tanzu to cut Hybrid Database’s Operational Complexity by Half

A discussion with Mark Grover

K8ssandra + VMware Tanzu

Security Best Practices for Apache Pulsar

Simplify GDPR Compliance with Apache Pulsar

DataStax Explores C* 4.0

Verinovum

Top 5 Use Cases for Cassandra

Data Management Pain Points and Future Solutions for Data Discovery

Logate

Top 10 Reasons Why Every Enterprise Should Use Apache Pulsar

Metadata, Communities, and Architecture with Shirshanka Das

Resource Library

Run DataStax Enterprise on VMware Tanzu to cut Hybrid Database’s Operational Complexity by Half

A discussion with Mark Grover

K8ssandra + VMware Tanzu

Security Best Practices for Apache Pulsar

Simplify GDPR Compliance with Apache Pulsar

DataStax Explores C* 4.0

Verinovum

Top 5 Use Cases for Cassandra

Data Management Pain Points and Future Solutions for Data Discovery

Logate

Top 10 Reasons Why Every Enterprise Should Use Apache Pulsar

Metadata, Communities, and Architecture with Shirshanka Das

Open-Source, Scale-Out, Cloud-Native NoSQL Database