In this popular session from the 2016 IDUG North American Conference, IDUG President Paul Turpin answers questions about R, Data Science and DB2.
Machine Learning is a rapidly growing field of the computer science, which has many far-reaching applications. This article will introduce you to the basic concepts of Machine Learning, whether it's useful for you, and how you can get started with some of the tools that are currently available.
My introduction to DB2 and SQL occurred over 30 years ago. It changed my life. Now big data tools have SQL as well.
At the IDUG North American conference in May, 2016, George Wang gave a presentation showcasing how Apache Spark can be used in conjunction with high volume OLTP database technologies like DB2 for z/OS.
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.