The 2020 Spark+AI Summit 2020 organized by Databricks hosted 60,000 virtual attendees. The keynotes focused on technical updates such as data integration and quality, and included  multiple live...

You know a data quality strategy is important. But do you know how to assess how good of a job your company is doing at achieving data quality? Keep reading for tips on developing a data quality...

Developing a data quality framework is reminiscent of herding cats. You have to bring together disparate groups to establish a set of standards to maintain data quality, when these groups don’t...

No one can afford downtime. There’s a problem, though: infrastructure is incredibly complex. There are many systems and networks that depend upon one another to support a single business...

Modern data analytics tools make it possible to apply context to data in a myriad of distinct ways. Historically, data analysts have aggregated consumers into broadly defined groups. Nielsen Media...

IBM’s security implementation on the IBM i platform is good, but that doesn’t mean that it’s immune from data breaches. All PCs and servers on the same network as your IBM i server are...

The article below is an update to Townsend Security’s popular blog post on NYDFS cybersecurity regulations. On March 1, 2017, the New York Department of Financial Services (NYDFS) made their...

According to Precisely’s definition of the term, data integration refers to the requirement to combine data from multiple separate business systems into a single unified view, often called a...

Could a multi-cloud architecture improve your data management strategy? That’s a question more and more companies are likely to ask themselves as multi-cloud computing grows in popularity. What...