Testing and Validating Apache Spark Programs

In her talk delivered at Strata+Hadoop World in San Jose in March 2016, Holden Karau detailed reasonable validation rules for Apache Spark production jobs and best practices for creating effective tests, as well as options for generating test data. See the full talk below.

Also be sure to catch two more upcoming talks from Holden:

London: Thursday June 2nd at Strata+Hadoop World in UK:
Beyond shuffling: Tips and tricks for scaling Spark jobs.

San Francisco: Wednesday June 8th at Spark Summit 2016:
Getting the Best Performance with PySpark. (Video of this talk is now available here.)

Book signing: Get your copy of High Performance Spark signed by Holden at 10:45 am Wednesday June 8th at the O'Reilly booth at Spark Summit.

Apache Spark is a fast, general engine for big data processing. As Spark jobs are used for more mission-critical tasks, it is important to have effective tools for testing and validation.

Testing and Validating Spark Programs – Strata+Hadoop World, San Jose 2016. Slides of Holden’s talks are available on Slideshare: Holden Karau


You Might Also Enjoy

Gidon Gershinsky
Gidon Gershinsky
2 months ago

How Alluxio is Accelerating Apache Spark Workloads

Alluxio is fast virtual storage for Big Data. Formerly known as Tachyon, it’s an open-source memory-centric virtual distributed storage system (yes, all that!), offering data access at memory speed and persistence to a reliable storage. This technology accelerates analytic workloads in certain scenarios, but doesn’t offer any performance benefits in other scenarios. The purpose of this blog is to... Read More

James Spyker
James Spyker
4 months ago

Streaming Transformations as Alternatives to ETL

The strategy of extracting, transforming and then loading data (ETL) to create a version of your data optimized for analytics has been around since the 1970s and its challenges are well understood. The time it takes to run an ETL job is dependent on the total data volume so that the time and resource costs rise as an enterprise’s data volume grows. The requirement for analytics databases to be mo... Read More