5 of the Hottest IT Trends (and How Mainframes Play a Role)
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 first mainframes were deployed in the 1950s. Other modern IT trends and technologies, such as Docker, continuous delivery, and DevOps, did not emerge until more than […]
4 Ways to Use Dark Data
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 of ways you can put it to use to gain new insights. The sources of dark data Before discussing use cases […]
Big Data’s Hidden Sources: Where to Find Big Data
Big data is all around you – including places where you may not think to look. Is your organization missing out on hidden datasets that can drive analytics and insight? Read on to review four big data sources you might be overlooking. Some big data sources are obvious. Software log files, databases that house customer […]
How to Future Proof Your Data to Make It More Valuable with Emergent Technologies – Part 2
This article on future proofing your data was originally published in Enterprise Tech Journal. Part one of this two part post focused on data application and system lock-in as well as the importance of future proofing your data. This part explains the benefits of liberating data from applications and how future-proofing powers new analytics. How […]
The Why and How of DataOps, A New Approach to Data Management
You’ve probably heard of DevOps, but you may not be familiar with DataOps, a related concept that has received much less attention so far. Here’s a primer on what DataOps means and how it can revolutionize your approach to Big Data. DevOps is an approach to software production that emphasizes constant collaboration between developers, IT Ops […]