IBM Db2 - The Ultimate Database for Cloud, Analytics & Mobile
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There are several use cases where data extracted from live data streams such as Twitter may need to be persisted into external databases. In this example, you will learn how to filter incoming live Twitter data and write relevant subsets of Twitter data into IBM database DB2. Sample program will work against all flavors of IBM databases i.e. DB2 for z/OS, DB2 distributed, dashDB and SQLDB.…Continue
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
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