Beyond Parallelize and Collect

Holden Karau presented this important work at Spark Summit East in NYC in February 2016. See the slides on SlideShare

Beyond parallelize and collect – Spark Summit East 2016 from Holden Karau

Effectively testing Apache Spark programs is a notoriously complex challenge — and it’s a challenge some of us would rather avoid completely. In this presentation, author and researcher Holden Karau makes the case for rigorous testing, especially at full scale with workloads that are too large for a single machine.


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