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In order to compete, enterprises must deliver digital experiences that perform flawlessly in seconds and delight their customers. The challenge is that behind each digital app is massive complexity – hundreds of interwoven services, developed by a mix of proprietary and open source contributors, connecting mainframe and multi-cloud infrastructures with billions of end user devices. These digital demands are driving exponential growth of data and transaction volumes, making it increasingly difficult for IT operations to keep up. There is too much data, complexity, and change for a finite numb...

shutterstock When you work with large-scale data, it’s important to “…know when to hold ‘em, know when to fold ‘em…”.  Most modern businesses rely on large-scale data, so it’s natural to focus on the best ways to quickly ingest and store huge amounts of data. But people often overlook how to delete data in very large-scale systems. It may sound simple, but it becomes a non-trivial task when data sets are in the tens of terabytes to petabyte or even exabyte scale.  The challenge of deleting large-scale data is a widespread issue that can have significant conse...