Your data is always changing, and your data governance policy needs to change, too. If it can’t, it’s not agile – and if it’s not agile, it won’t work in today’s IT...

As an IT professional, you know what data quality means and why it’s important. But does your boss? If not, it’s time to explain the importance of data quality to the higher-ups in your...

You can store all your data for some amount of time, and you can store some of your data for an infinite amount of time, but you can’t store all your data forever. Not even a company the size...

Even if you analyze your data in real time, storing data for extended periods is important for compliance and other reasons. But what types of data should be retained and how long should you keep it?...

The efficiency of ETL integration can make or break the rest of your data management workflow. Want to get the most from your ETL processes? Keep reading for high-performance ETL best practices. 8...

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...

How important are mainframes today? One way of answering that question is to take a look at some statistics relating to how mainframes are currently used. Keep reading for mainframe statistics that...

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...

Mainframes were developed long before anyone was thinking about the trends and technologies that define modern computing. Concepts like open source software were decades away from emerging when the...