Course Catalog

DataStax Training

DataStax Training brings you world-class training to boost your advantage

At DataStax, we're committed to helping your organization acquire the knowledge and skills it takes to gain maximum value from our big data solutions. To that end, we offer an array of world-class training courses for developers, architects, DBAs and administrators.

 

Training Navigation:

Course Catalog

Apache Cassandra: Core Concepts, Skills and Tools

Course Duration: 3 days

This course teaches the fundamentals of Apache Cassandra 2.0 architecture, installation, configuration, administration, CQL, and tools. It serves as the foundation for other DataStax training courses.

View Learning Objectives

Apache Cassandra: Operations and Performance Tuning

Course Duration: 3 days

This course teaches the specific configuration, operational, and performance tuning skills needed to administer an Apache Cassandra cluster.

View Learning Objectives

Apache Cassandra: Building Scalable Java Applications

Course Duration: 3 days

This course provides a technical introduction to all the conceptual and practical areas needed to use Apache Cassandra 2.0 for building scalable Java applications.

View Learning Objectives

Apache Cassandra: Data Modeling

Course Duration: 2 days

This course teaches conceptual, logical, and physical data modeling for Apache Cassandra. It covers intermediate and advanced, state-of-the-art data modeling methodologies, schema design optimizations, and indexing techniques.

View Learning Objectives

DataStax Enterprise Search Using Apache Solr

Course Duration: 2 days

This course teaches the essentials of implementing search functionality using Apache Solr, how to configure it within DataStax Enterprise (DSE), and how to troubleshoot and solve common problems.

View Learning Objectives

DataStax Enterprise Analytics: Spark and Cassandra

Course Duration: 2 days

This course is designed to provide a comprehensive foundation for data analytics with Spark and Cassandra using DataStax Enterprise. It covers Spark and Cassandra integration, architectural and deployment aspects, Spark Core concepts and operations on generic and key-value datasets, and real-life scenarios and recipes of Cassandra data processing, analysis, and analytics using Spark.

View Learning Objectives