Datastax Courses:

DataStax Enterprise Analytics with Apache Spark

A deep dive into Spark, the open-source engine behind DataStax Enterprise analytics capabilities. Students learn the Spark Context API through numerous hands-on exercises in Scala. Pair RDDs are treated in detail, including their integration with CQL tables to move data in and out of operational Cassandra structures. Students use the Action and Transformation APIs, and learn how Spark Streaming enables real-time analysis and Spark SQL enables ad-hoc SQL queries over data stored in Cassandra.

DataStax Enterprise Operations and Performance Tuning

This course delivers the tools and knowledge needed to operate and tune your Apache Cassandra™ or DataStax Enterprise deployments.This section takes a look at a typical installation of an open-source Apache Cassandra and DataStax Enterprise cluster, including: installing dependencies, package downloading, setup and configuration, start up, and an introduction to the tools cqlsh and nodetool. You will learn expert skills and techniques to tune performance and environments, deploy multi-data center functionality, diagnose and resolve common production problems, and more.

Data Modeling with DataStax Enterprise

The Cassandra data model looks similar to the legacy relational model, but is different in important ways. This course contains a thorough treatment of the Cassandra data model, and presents the Chebotko method of translating a real-world domain model into a running Cassandra schema. The data modeling techniques presented in this course are essential to a successful DataStax Enterprise deployment. This course teaches you data modeling techniques essential to a successful Apache Cassandra™ and DataStax Enterprise deployment.  You’ll learn conceptual data modeling techniques, principles and methodology, design techniques and optimization, and review select data modeling use cases.

Introduction to DataStax Enterprise

This beginner level introduction to Apache Cassandra outlines challenges encountered when attempting to scale with relational databases, and how NoSQL databases like Cassandra address those challenges. It reviews the Cassandra architecture, benefits, and how to use the Cassandra read and write paths. Finally, it reviews Cassandra distributions and helps you determine the best fit for your needs.

Partner Information:


Apache Cassandra in a database platform purpose built for the performance and availability demands of modern Web, Mobile and Internet of Things (IOT) applications, giving enterprises a secure always-on database that remains operationally simple when scaled in a single datacenter or across multiple datacenters and clouds. With more than 500 customers in over 50 countries, DataStax is the technology of choice for the world’s most innovative companies, such as Netflix, Adobe, Intuit, and eBay.
Based in Santa Clara, Calif., DataStax is backed by industry-leading investors including Comcast Ventures, Crosslink Capital, Lightspeed Venture Partners, Kleiner Perkins Caufield & Byers, Meritech Capital, Premji Invest and Scale Venture Partners.

Big Data
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Headquarters Location
Santa Clara,USA