In this article, John Maenpaa presents an overview of the architectural features of mainframes, distributed Linux/UNIX servers, and data lakes, and draws contrasts between them and when one architecture may be a better choice than the others.
In this article, IBM Executive Architect Eberhard Hechler provides some examples for how you can integrate the data stored in your z Systems environments into a data lake and how you can avoid some of the challenges that customers often run into.
Without proper management and governance, a data lake can easily turn into a manageability problem. In this article, David Stevens previews the session he will be delivering at the upcoming IDUG Data Tech Summit.
The topic of the month in April is Data Lakes. In this article, Craig Mullins defines what a data lake is, gives his thoughts on how they differ from Data Warehouses, and provides some pointers to help keep you "afloat" if you are tasked with supporting your organization's data lake.
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.