5 Data Management Horror Stories to Avoid

By Darryl K. Taft  |  Posted 2016-10-31

Developing a data strategy for the digital age can seem terrifying. Oozing streams of data, haunting ghosts of outdated tools, the stupefying fear of making a million-dollar mistake. This Halloween season, or strategizing season, don’t let big data horror stories scare you into inaction. The reality of big, streaming data is that organizations will have to exorcise some long-entrenched demons that represent the way they think about data management. The insidious little gremlin data drift wreaks all sorts of havoc on data systems, especially those that require constant hand coding and use legacy extract, transform, load (ETL) tools to harness information. The shift to data in motion requires a mindset shift toward building continuous data operations capabilities that are in tune with the time-sensitive, dynamic nature of today’s data, capabilities that stop the data drift gremlin from multiplying. Based on interviews with executives at data performance management specialist StreamSets, eWEEK examines some of the horrors of data management. Here are a few items about data management to consider.


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