Hybrid and multi-cloud strategies can enable greater cost control and scalability for fast-growing big data. That is likely why 84 percent of enterprises have a multi-cloud strategy in 2020. ...
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?...
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...
You’ve probably witnessed it, and maybe are doing it. Many organizations are just dumping as much data into a data lake as they can, trying to get to every data source in an enterprise and putting...
How much does big data cost? There are two ways to answer that question: The simplistic way, which looks only at surface-level big data costs, and the comprehensive way, which factors in the...
Data quality is important to business. That you know. But do you understand what it takes to provide data quality We’ll review how data quality problems can arise. Briefly defined, data...
Data quality is crucial, though there are few industries in which it’s a life-or-death issue. The healthcare field is a notable one – a missing value, an additional value, or the wrong value...
We’re dealing with more data in the enterprise than ever before. Headlines blare that “data is valuable” but, that’s only true if the information you have is of high quality. The question...
If you’re like most organizations, you collect a lot of dark data – which means data that you don’t put to work. But your data doesn’t have to stay dark. Keep reading for examples...
