Covering Disruptive Technology Powering Business in The Digital Age

This article was originally published by inma.org and can be viewed in full here

Choosing the right vendor for managing Big Data requires each organisation to consider its own needs, including preferences related to data storage, scripting language, and preferred usage tools.

Hadoop, NoSQL, and all of the others living in the cloud storage/tools world are in an explosive stage of development, with many new companies jumping into the fray with a widget that makes something possible (time series) or the large firms making something easier to do (drag and drop H-SQL).

All of this inventive effort makes selecting the right set of tools to build your technology stack very difficult. The classic cliché of 20:20 hindsight will prove yet again that your great tech decision was wrong. But, you can’t stand on the sidelines; you have to pick something.

Ultimately, the Big Data answer is complex. Do you need it, what are you going to do with it, and so on. Having made the decision to jump, the tool stack and vendor decisions must be made with your goals for using the information supporting the decisions.

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