Mastering Spark Unit Testing - Databricks

Mastering Spark Unit Testing

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Traveling to different companies and building out a number of Spark solutions, I have found that there is a lack of knowledge around how to unit test Spark applications. In this talk we will address that by walking through examples for unit testing, Spark Core, Spark MlLib, Spark GraphX, Spark SQL, and Spark Streaming. We will build and run the unit tests in real time and show additional how to debug Spark as easier as any other Java process. The end goal is to encourage more developers to build unit tests along side their Spark applications to increase velocity of development, increase stability and production quality.

About Ted Malaska

Ted is working on the Battle.net team at Blizzard, helping support great titles like World of Warcraft, Overwatch, HearthStone, and much more. Previously, he was a Principal Solutions Architect at Cloudera, helping clients be successful with Hadoop and the Hadoop ecosystem. Previously, he was a Lead Architect at the Financial Industry Regulatory Authority (FINRA). He has also contributed code to Apache Flume, Apache Avro, Apache Yarn, Apache HDFS, Apache Spark, Apache Sqoop, and many more. Ted is also a co-author or O’Reilly “Hadoop Application Architectures” and a frequent speaker at many conferences, and a frequent blogger on data architectures.