IBM Db2 - The Ultimate Database for Cloud, Analytics & Mobile
There are several use cases where data in Spark needs to be persisted in a backend database. Enterprise wide analytics may require load of data into Spark from different data sources, apply transformations, perform in-memory analytics and write the transformed data back to a enterprise RDMS such as DB2.
In this blog, simple techniques are shown using latest…Continue
Added by Pallavi Priyadarshini on August 12, 2015 at 7:30 — No Comments
Spark SQL gives powerful API to work with data across different data sources using Python, Scala and Java. In this post, we will demonstrate how easily DB2 data (both z/OS and LUW) can be loaded into Spark and joined with JSON data using DataFrames.
We will use a standalone Java program in this example. For setup of Eclipse to work with Spark, please refer to…Continue