Leveraging data integration for vital insights How can business intelligence analyses be effectively conducted on data that comes from many different sources and locations, each with its own unique...
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...
The field of data enrichment is heating up, as powerful big data analytics continue to deliver on the promise of enhancing business value. Data trends for the coming year reflect an increased focus...
From the second data enters your enterprise and begins to move, it is vulnerable. Data in motion flows through many systems before it may be analyzed to derive valuable information for better...
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...
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...
