Preparing to recover big data workloads after an unexpected disaster requires more than just having data backups on hand. This article explains how to build an effective big data disaster recovery...

Take a second to think about how many natural and man-made disasters you’ve read about or lived through in the past decade. You can probably name at least three hurricanes off the top of your head....

Many companies are just starting their data governance journey. There has been a paradigm shift towards a data driven environment. As you start to think how data impacts your organization, it becomes...

As the amount of information they receive or generate on a daily basis continues to increase at exponential rates, many companies are discovering new ways of capitalizing on the value hidden in their...

When it comes to digging value out of the wealth of data many companies have at their disposal, Hadoop is the platform of choice. It is built on a number of capable, sophisticated, and well-supported...

This article on Data Matching was originally published on Dataversity by Harald Smith. Part 1 started with a background on data matching and how to get started. Ensuring business context Matching...

The goal of data mining is to get more out of your data so that you can make better decisions and achieve greater business success. However, what if there was a way to make data mining even more...

For many mainframe shops, managing operations so as to minimize MLC (monthly licensing charge) costs has long been a major preoccupation. MLC is tied to CPU usage and has historically been calculated...

This article on the California Consumer Privacy Act (CCPA) was originally published in Enterprise Tech Journal. Part one of this two part post focused on an overview of the CCPA regulations and the...