Topic: Cross Platform DB2 for z/OS & LUW
Spark will be a gamechanger for analytics and is emerging as a de-facto analytics “operating system”. DB2 being the preferred systems of record, can leverage analytics abilities of Spark. This session will take you through examples of loading DB2 data (both z/OS and distributed) in Spark and accessing those Spark datasets through developer friendly interfaces such as Scala, Python & Java. We will show how standards that most developers are familiar with today such as SQL & JDBC can be utilized in Spark. We will also demonstrate examples of using Spark to easily join DB2 data with heterogeneous data sources such as Biginsights, JSON store & flat files. Join us to get a headstart on how Spark can provide a value add in your DB2 environments.
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