These webinars are loaded with helpful background information and useful, hands-on insights into big data technologies and solutions, including DataStax Enterprise and its various components. From big-picture orientations to granular details, we’ve got you covered.
If you have ideas about webinar topics you’d like to see in the future, feel free to send them along.
Join us for this webinar to learn how you can incorporate a modern, NoSQL platform into daily operations to optimize and simplify data performance. Advanced enterprise search, visual performance monitoring, and a highly-performant database deliver faster, easier access to the information your customers need most.
Need to switch from MySQL to Cassandra? Learn how social software firm Lithium managed the migration from a legacy MySQL system to Cassandra with zero customer downtime or data integrity loss. In this webinar, Senior Software Engineer Paul Cichonski will tell you all about how Lithium uses Cassandra. He’ll describe the data model and how it evolved over time, plus he’ll coach you about how to test Cassandra in QA and catch any issues before moving into production. Join us to learn how Lithium uses Cassandra, why Lithium still requires Thrift for some wide-row centric use cases, and what failures to expect in production and what to monitor.
With the new Python driver for Cassandra it is easy to build integrations and apps that use Cassandra seamlessly as a back in. This session will explore what it takes to build the app and the features available with the new Python drivers.
Follow us on Slideshare
View slide decks from DataStax and Cassandra Community Webinars on our Slideshare account.
Follow us on YouTube
Watch videos of past webinars on the DataStax YouTube Channel.
Whether running load tests or migrating historic data, loading data directly into Cassandra can be very useful to bypass the system’s write path. In this webinar, we will look at how data is stored on disk in sstables, how to generate these structures directly, and how to load this data rapidly into your cluster using sstableloader. We’ll also review different use cases for when you should and shouldn’t use this method.
Starting with Version 1.2 Cassandra has made it easier to store more data on a single node. With off heap data structures, virtual nodes, and improved JBOD support we can now run nodes with several Terabytes of data. In this talk Aaron Morton, Co-Founder and Principal Consultant at The Last Pickle, will walk through running fat nodes in a Cassandra cluster. He’ll review the features that support it and discuss the trade offs that come from storing 1TB+ per node.
Data security is an absolute requirement for any organization – large or small – that handles debit, credit and pre-paid cards. But navigating, understanding and complying with PCI-DSS (Payment Card Industry – Data Security Standards) regulations can be tough. In this webinar, we’ll examine the guidelines for securing payment card data and show you how a combined solution from DataStax and Gazzang can put you on course for compliance.
As we move into the world of Big Data and the Internet of Things, the systems architectures and data models we’ve relied on for decades are becoming a hindrance. At the core of the problem is the read-modify-write cycle. In this session, Al will talk about how to build systems that don’t rely on RMW, with a focus on Cassandra. Finally, for those times when RMW is unavoidable, he will cover how and when to use Cassandra’s lightweight transactions and collections.
Are you a database professional looking for that next career boost? Maybe you are already use Cassandra and would like an edge in your job. Rachel and Patrick have been doing this for a long time and they can help! We’ll be going over some hard, fast rules that will save you time and trouble. Let our experience be your insider information. As a preview, here is commandment 0: Thou shalt watch!
Cassandra is a distributed, massively scalable, fault tolerant, columnar data store, and if you need the ability to make fast writes, the only thing faster than Cassandra is /dev/null! In this fast-paced presentation, we’ll briefly describe big data, and the area of big data that Cassandra is designed to fill. We will cover Cassandra’s unique, every-node-the-same architecture. We will reveal Cassandra’s internal data structure and explain just why Cassandra is so darned fast. Finally, we’ll wrap up with a discussion of data modeling using the new standard protocol: CQL (Cassandra Query Language).
Tis’ the season to get all of your urgent and demanding Cassandra questions answered live! Get ready for yet another very special edition of the Cassandra Community Webinar – Q&A style. Please join us as we close out 2013 with an entire hour devoted to answering as many Cassandra questions as possible. Our panel of experts have a vast knowledge of Cassandra and will be answering questions ranging from a variety of personas; developer, architecture and operations.
Functional data models are great, but how can you squeeze out more performance and make them awesome! Let’s talk through some example Cassandra 2.0 models, go through the tuning steps and understand the tradeoffs. Many time’s just a simple understanding of the underlying Cassandra 2.0 internals can make all the difference. I’ve helped some of the biggest companies in the world do this and I can help you. Do you feel the need for Cassandra 2.0 speed?
We’ll be covering some aspects of our architecture, highlighting differences between MongoDB and Cassandra. We’ll go in depth to explain why Cassandra is a better choice for our general purpose Application Platform (SHIFT) as well as our Media Buying Analytics tool (the SHIFT Media Manager). We’ll be going over common design patterns people might be familiar with coming from a background with MongoDB and highlight how Cassandra would be used as a better alternative. We’ll also touch more on cqlengine which is nearing feature completeness as the Cassandra object mapper for Python.
Join us for this webinar, where you will learn about Allied Payment’s “Painless migration” from Microsoft SQL Server, accomplished after they were in production, discovery of the “paradigm-shifting” query-first data model, use of DataStax’s OpsCenter to easily manage the database layer of their application, and experience of 100x faster response times since deploying on DataStax Enterprise.
CQL3 is the newly ordained, canonical, and best-practices means of interacting with Cassandra. Indeed, the Apache Cassandra documentation itself declares that the Thrift API as “legacy” and recommends that CQL3 be used instead. But I’ve heard several people express their concern over the added layer of abstraction. There seems to be an uncertainty about what’s really happening inside of Cassandra. In this presentation we will open up the hood and take a look at exactly how Cassandra is treating CQL3 queries.
Get all of your urgent and demanding questions ready for this very special edition of Cassandra Community Webinar – Q&A style. We realize that there are loads of questions that come in during each of our webinars with minimal time to answer them, so we are devoting one hour to answer as many Cassandra questions as possible. Our panel of experts have avast knowledge of Cassandra and will be answering questions ranging from a variety of personas; developer, architecture and operations.
Apache Cassandra 2.0 is out – now there’s no reason not to ditch that ol’ legacy relational system for your important online applications. Cassandra 2.0 includes big impact features like Light Weight Transactions and Triggers. Do you know about the other new enhancements that got lost in the noise. Let’s put the spotlight on all the things! Changes in memory management, file handling and internals. Low hype but they pack a big punch. While we were at it, we also did a bit of house cleaning. Join us to understand why you will want to go big with Cassandra 2.0.
Matt Stump (the speaker in this webinar) is currently a solutions architect at DataStax and is the author of the forthcoming “Cassandra: A Beginner’s Guide” published by Packt. He has an extensive background in high performance computing working with companies such as SourceNinja and Symantec. He brings a wealth of knowledge not only in Cassandra, but also in Solr, as he was an extremely early implementer of the technology.
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines. In this webinar, you’ll learn how to get uptime, all the time, so you can serve your customers without outages.
Presentation on SHIFT’s migration from MongoDB to Cassandra. Topics will include reasons behind choosing to move to Cassandra, zero downtime migration strategy, data modeling patterns, and the benefits of using CQL3.
The design of Apache Cassandra allows applications to provide constant uptime. Peer-to-Peer technology ensures there are no single points of failure, and the Consistency guarantees allow applications to function correctly while some nodes are down. There is also a wealth of information provided by the JMX API and the system log. All of this means that when things go wrong you have the time, information and platform to resolve them without downtime. This presentation will cover some of the common, and not so common, performance issues, failures and management tasks observed in running clusters. Aaron will discuss how to gather information and how to act on it. Operators, Developers and Managers will all benefit from this exposition of Cassandra in the wild.
Apache Cassandra solves many interesting problems to provide a scalable, distributed, fault tolerant database. Cluster wide operations track node membership, direct requests and implement consistency guarantees. At the node level, the Log Structured storage engine provides high performance reads and writes. All of this is implemented in a Java code base that has greatly matured over the past few years. In this webinar Aaron Morton steps through read and write requests, automatic processes and manual maintenance tasks. He also discusses the general approach to solving the problem and drill down to the code responsible for implementation.
The definition of Ecommerce has totally changed, expanding from a purely retail perspective to mean “the place where your customers meet you online.” Whether you offer mortgage services or catering recommendations, you must think of your online transaction application as an eCommerce site. For one thing, you can’t afford for your online presence to go down — ever. Secondly, you need to handle unpredictable spikes in demand without breaking your budget. Thirdly, you need to gain (and keep) customer trust with the appropriate levels of data security.
Ooyala has been using Apache Cassandra since version 0.4. Their data ingest volume has exploded since 0.4 and Cassandra has scaled along with it. In this webinar Al will share lessons that he has learned across an array of topics from an operational perspective including how to manage, tune, and scale Cassandra in a production environment.
You know you need Cassandra for it’s uptime and scaling, but what about that data model? Let’s bridge that gap and get you building your game changing app. The goal of this talk is to get you comfortable working with data in Cassandra throughout the application lifecycle.
This webinar will give you the basics for growing your business in a profitable way. What’s the use of growing your top line but outspending any gains on cumbersome, ineffective, outdated IT? We’ll take you through the specific use cases and business models that are the best fit for NoSQL solutions.
During this session, Ooyala CTO, Sean Knapp and DataStax Vice President of Marketing, Lara Shackelford will discuss why Ooyala selected DataStax as the big data platform powering their business, and how they provide real-time video analytics that help media companies create deeply personalized viewing experiences for more than 1/4 of all Internet video viewers each month.
This session follows the process of evaluating different big data platforms based on varying use cases and business requirements, explain how big data professionals can choose the right technology to transform their business, and how open source technology is helping close the skills shortage within the big data industry.
A brief intro to how Barracuda Networks uses Cassandra and the ways in which they are replacing their MySQL infrastructure, with Cassandra. This presentation will include the lessons they’ve learned along the way during this migration.
Using concrete, real-world examples, this webinar will show how abandoning modeling altogether is a recipe for disaster, how experienced relational modelers can leverage their skills for NoSQL projects, how the NoSQL context both simplifies and complicates the modeling endeavor, and how lessons learned modeling for NoSQL projects can make you a more effective modeler for any kind of project.
Learn how to satisfy your Security and Compliance office in this webinar offered by DataStax, the company that develops Apache Cassandra™, and Gazzang, provider of data security solutions for big data and cloud environments.
Sure you can do some time series modeling. Maybe some user profiles. What’s going to make you a super modeler? Let’s take a look at some great techniques taken from real world applications where we exploit the Cassandra big table model to it’s fullest advantage.
Who says that big data doesn’t need a data model? You won’t after this webinar. Relational systems have always been built on the premise of modeling relationships. As you will see, static schema, one-to-one, many-to-many still have a place in Cassandra. From the familiar, we’ll go into the specific differences in Cassandra and tricks to make your application fast and resilient.
If you’re wondering what NoSQL is and if your business can benefit from NoSQL technology, join DataStax for the Webinar, “How to Tell if Your Business Needs NoSQL”. This to-the-point presentation will provide practical litmus tests to help you understand whether NoSQL is right for your use case, and supplies examples of NoSQL technology in action with leading businesses that demonstrate how and where NoSQL databases can have the greatest impact.
Join Aaron Morton, DataStax MVP for Apache Cassandra and learn the basics of the massively scalable NoSQL database. This webinar is 101 level and will examine C*’s architecture and its strengths for powering mission-critical applications. Aaron will introduce you to core concepts such as Cassandra’s data model, multi-datacenter replication, and tunable consistency. He’ll also cover new features in Cassandra version 1.2 including virtual nodes, CQL 3 language and query tracing.
At Comcast Silicon Valley we have developed a general purpose message bus for the cloud. The service is API compatible with Amazon’s SQS/SNS and is built on Cassandra and Redis with the goal of linear horizontal scalability. In this Webinar we will explore the architecture of the system and how we employ Cassandra as a central component to meet key requirements. We will also take a look at the latest performance numbers.
Join Patrick McFadin, Solution Architect at DataStax as he discusses what’s new in Apache Cassandra 1.2 – VNodes (Virtual Nodes), Collections and CQL3.
Apache Cassandra Project Chair, Jonathan Ellis, looks at all the great improvements in Cassandra 1.2, including Vnodes, Parallel Leveled Compaction, Collections, Atomic Batches and CQL3.
Find out how you can deploy an industrial-strength and cost-effective enterprise search platform that supports all your search needs.
Join Billy Bosworth, CEO of DataStax, as he examines how to assess where NoSQL is right for your business, what factors to consider when selecting a big data platform and much more.
Join Robin Schumacher, VP of Products for DataStax as he discusses the most important factors in assessing big data platforms.
Join experts from Forrester, SourceNinja, and DataStax as they reveal practical big data strategies and technologies that can give you a real edge over your business competitors.
Learn about the top five challenges companies are facing with NoSQL implementations and examine what history can teach us about successfully adopting new database technologies.