Browse our white papers to get a thorough grounding in big data issues; enabling technologies, including NoSQL and Apache Cassandra; business and technical benefits; solution descriptions and much more.
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Today’s customers expect a seamless, intelligent and personalized experience that operates at the speed of the cloud and is continuously available regardless of location or platform. To deliver an optimal customer experience that will enable you to stay ahead of competitors you need a distributed, responsive and intelligent architecture which is only possible when the right database is in place. Read this eBook to learn how your database technology decisions can affect your ability to deliver either a transformational customer experience or a lackluster, dissatisfying encounter that benefits your competitors, not your bottom line.
DataStax Enterprise 5.0 makes it easier to build and run large-scale, interactive and intelligent applications. Learn more about the robust multi-model capabilities (e.g. DSE Graph) and new features that will simplify and automate the management, monitoring and development tasks in DataStax Enterprise.
Enterprises today continue to differentiate themselves with cloud applications – any application that needs to be always-on, distributed, scalable, real-time, and contextual. With DataStax Enterprise, DataStax delivers comprehensive data management with a unique always-on architecture that accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications. DataStax Enterprise (DSE) powers these cloud applications that require data distribution across data centers and clouds, by using a secure, operationally simple platform. At its core, DSE offers the industry’s best distribution of Apache Cassandra™. This paper provides a summary of the features and functionality of DataStax Enterprise that make it the best choice for companies that are looking to leverage the promise of Apache Cassandra™ for production environments.
As the big data ecosystem continues to expand, new technologies are helping companies benefit from the rich sources of information flowing into their organizations. The most pressing areas include real-time data processing, analytics, data integration, governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
Mesosphere Enterprise DC/OS and DataStax Enterprise allows you to easily deploy and scale a first-class enterprise distributed database. DSE on Enterprise DC/OS allows you to easily configure, deploy, scale, monitor and manage DSE clusters, as well as efficiently leveraging shared infrastructure.
A Look at How Cloud Applications Benefit From Graph Technology. There are a variety of different use cases to which a graph database can be applied and where a graph is a better fit than other DBMS’s such as a relational or general NoSQL database.
Why Cloud Applications Benefit from a Multi-Model Approach. Understanding the why’s and how’s of a multi-model database requires a brief look back at the various evolutions of data management that have brought things to where they are today.
Customers demand speed, convenience, and in-context experiences. Netflix, Mint Bills, and Clear Capital know their customers won’t give them a second chance. Learn how these leaders use DataStax Enterprise to provide an experience their customers can’t get anywhere else.
Managing and optimizing the performance of a widely distributed database that is comprised of many individual servers can be very challenging. This paper discusses how DataStax OpsCenter can be used to greatly simplify the task of administering one or many Apache Cassandra™ and DataStax Enterprise database clusters, whether those clusters are deployed on premise or in the cloud.
The oil industry is awash with data. Most companies struggle just to collect, store and analyze all this information. Yet the lack of real-time responsiveness limits the benefits of all this data. The competitive advantage for companies operating in the oilfields of the future will depend on their ability to process vast amounts of data on a large scale, and provide real-time actionable intelligence to remote locations that will improve operating efficiency, safety and maintenance.
This paper examines the challenges Financial Services Institutions (FSIs) face when building a 360° view of the customer to transform their customer experience and how to overcome them.
For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications.
This paper examines the challenges Financial Services Institutions (FSIs) face when building a market tick data management system, what database requirements the Line of Business (LoBs) should look into, and how the database can be used to provide high throughput and resilience with low latency.
$32 billion was lost to online payments fraud in 2014 in U.S. alone. Let’s stop this madness. Protect your customers from these relentless attacks by online criminals. Existing anti-fraud solutions are complicated, costly and simply don’t scale. Build unbreakable fraud detection applications on the only database technology with the scale, speed and availability needed to combat these attacks.
This short paper describes best practices for running DataStax Enterprise (DSE) and OpsCenter within Docker environments, and includes trade-offs to be aware of and pitfalls to avoid.
This paper is an introduction to the 5 steps of a proven methodology for implementing DataStax Enterprise in a production environment. It is intended for IT Operations Managers / DBAs and Centralized IT Management (CIOs, CTOs, etc.) who will be involved in the implementation and ongoing management of the database platform supporting their critical Web, mobile and IoT applications.
End Point, a database expert and full-service ecommerce consulting company, performed a series of performance tests on leading NoSQL database vendors. The overall conclusion shows Cassandra significantly outperforming the most recent version of other NoSQL databases, including Couchbase 3.0, MongoDB 3.0 (with the Wired Tiger storage engine) and HBase 0.98, in throughput and latency..
This paper describes 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. It then describes how NoSQL database systems are fast becoming the standard database platform for these types of applications and why DataStax Enterprise, with its integrated enterprise search capabilities, can make developing powerful search components for an application fast, easy, and cost effective.
This business paper explores how DataStax Enterprise makes it easy for Internet Enterprises to run operational analytics on data stored in Cassandra, and integrate insights with historical Hadoop data warehouses/lakes. By leveraging data collected from operational (transactional) systems organizations you can achieve fast time-to-insight so that online applications can lead to better business.
Applications that succeed in today’s digital, Internet economy age are those that interact intelligently with the end customer in specifically tailored and personalized ways, benefitting both the customer and the underlying business. Explore the key five application requirements that an underlying data management platform must provide to enable today’s Web and mobile applications that quickly make new customers and keep them coming back.
This paper defines the “Internet Enterprise” and discusses radical changes in technology DNA that Internet Companies created. Learn how to transform your traditional business to an Internet Enterprise and understand how all forward-looking companies need to challenge long-held assumptions about how they develop and deliver products and services with an eye toward competitive edge.
This white paper outlines the reference architecture of Apache Cassandra™ and DataStax Enterprise (DSE) and establishes a starting point for users who are contemplating different hardware choices to host DSE. This document also provides good guidance for System Architects and System Administrators during the planning stages of development, test and production environments, whether in-house or at a private or public data center.
This document provides best practice guidelines for designing, deploying, and managing DataStax Enterprise (DSE) database clusters. Although each application is different and no one-size-fits-all set of recommendations can be applied to every situation, the information contained in this paper summarizes techniques proven to be effective for several DataStax customers who have deployed DataStax Enterprise in large production environments.
This white paper provides general guidelines on how DataStax Enterprise can help organizations comply with SOX using its robust security features, including access control and auditing capabilities.
Today’s online debit, credit and pre-paid card applications need always-on, disaster-proof database technology along with the enterprise security necessary to meet tough industry standards. This paper examines how DataStax Enterprise, powered by the Apache Cassandra™ database, meets these needs in one integrated solution.
This paper looks at why NoSQL technology like Apache Cassandra™ / Datastax Enterprise is quickly becoming the first and best database choice over Oracle for online applications, providing guidelines for when a legacy RDBMS like Oracle should be used and when NoSQL is required.
This paper, written with a blend of information for the line-of-business manager and the IT professional, discusses the five key rules of great ecommerce and the changes they require in your database infrastructure.
This paper provides a general enterprise implementation strategy for NoSQL by exploring the key reasons why enterprises are turning to NoSQL solutions and providing examples of how modern businesses are using the technology today.
Learn about the six most common reasons NoSQL databases are being deployed today and how Apache Cassandra™ and DataStax Enterprise serve those use cases.
Get a solid grounding in why multiple data center databases are fast becoming the new norm for database operations, along with what characteristics a database must have to run simultaneously across many data centers and the cloud.
Get a high-level examination of the why’s and how’s of migrating from Oracle’s MySQL to more capable big data technologies, such as Apache Cassandra™ and Apache Hadoop™.
This paper surveys the emerging class of applications that require new data-management foundations and the technology implications of those requirements.
This paper examines the growing prevalence of big data across nearly every industry and explains why its effective use is critical for firms that want to compete in their chosen market.
Cut through the clutter of varying NoSQL solutions and examine essential characteristics successful enterprise deployments share in common.
Learn about Apache Cassandra, the NoSQL database designed for big data applications that require high performance, massive scale and continuous availability.
Get an overview of the key characteristics required when moving data-intensive applications to the cloud and how Apache Cassandra stacks up to other database alternatives in that regard.
Cisco and DataStax have joined forces to deliver a unique solution comprised of the industry leading Cisco Unified Computing System™(Cisco UCS®) and DataStax Enterprise (DSE) – providing the performance and reliability that organizations need to support their enterprise applications.
As a DBA, perhaps you’ve seen database engines such as object-oriented and OLAP databases come and go, and you’re wondering why NoSQL should be any different. You may ask questions like: What kinds of administration and management work does NoSQL entail? How are security, backup and recovery, database monitoring and tuning handled? How do I create databases, objects, and read/write data without SQL? Learn what NoSQL is, why it’s needed, and when it’s not.