Advanced Apache Spark

Advanced Apache Spark

Bascom  Bridge Advanced Apache Spark training course teaches attendees advanced Spark skills. Attendees discover how to integrate Spark with Cassandra, cluster data workflows, measure performance, and more.

LOCATION AND PRICING

Most Accelebrate courses are delivered as private, customized, on-site training at our clients’ locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor’s or students’ travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

In addition, some courses are available as live, online classes for individuals.

ADVANCED SPARK TRAINING OBJECTIVES

All students will:

• Build on Spark fundamentals to gain a deeper understanding of Spark internals
• Learn the operational tweaks to generate the maximum performance from Spark
• Discover how to use GraphX and MLib for machine learning

ADVANCED SPARK TRAINING PREREQUISITES

Developers who have taken Bascom  Bridge Introduction to Spark Programming Training course or who have equivalent experience.

ADVANCED SPARK TRAINING MATERIALS

All Spark training students receive comprehensive courseware.

SOFTWARE NEEDED FOR EACH PC:

• Laptop or desktop with i7 quad core processor or faster
• 8GB RAM or higher
• Oracle VirtualBox
• Internet connection for all attendees and the instructor
• Note: If you do not have classroom computers available with this spec, we can recommend a rental laptop vendor whose machines meet these specifications.
• For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor’s screen simultaneously with working on their own.

ADVANCED SPARK TRAINING OUTLINE

• Introduction
• Spark integration with Cassandra (other compatible NoSQL implementations can be substituted if supported)
• Advanced Spark SQL and Spark Streaming
• Implementing Spark on DataStax and Hortonworks
• Cluster resource requirements
• Debugging/troubleshooting Spark apps
• Developing data workflows
• Performance metrics
• Cases studies
• Conclusion