Moving to a new version or fix pack of DB2 should not be a scary event for databases using the high availability disaster recovery (HADR) feature. Fear of an outage or re initialization of your standby is no longer a concern.
Thinking about using SQL to analyze data residing in Hadoop? Take a look at a brief comparison of Hive and IBM Big SQL.
This article explores the enterprise analytics market, use of Apache Spark on IBM z Systems platforms, integration between Apache Spark and other enterprise data sources, and IBM’s new offering for Machine Learning on z/OS.
My introduction to DB2 and SQL occurred over 30 years ago. It changed my life. Now big data tools have SQL as well.
Until recently, this ACID compliancy wasn’t fulfilled by Hadoop transactions, but the advent of Hive 2 (June 2016) and others has changed this. Now you can have an equally valid acidity on Hadoop as you would expect on DB2.
This brings up once more the question on the relevance of DB2.