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.
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.
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.
If you haven’t heard about Spark, it is about time you read an article on it. But do we actually know what Apache Spark is exactly? Why should(n’t) we use it? Is it fit for purpose or not? Many things are still unclear to a broad audience; I hope to reveal a little more on this subject.
Apache Spark has become a hot topic in the world of Analytics. It is seen as a better performing alternative to Map/Reduce , and as a means to do analytics combining data across a wide set of data sources. This video is a excellent introduction to what Spark is, and how it works with DB2 for z/OS.