[Dataconomy] BigDataFr recommends: Steering Big Data Projects in the Modern Enterprise

big data projects

BigDataFr recommends: Steering Big Data Projects in the Modern Enterprise

[…] Just a few years ago, enterprise organizations had to be convinced that Big Data was a real-world opportunity worth investing in. By 2016, 63% of those enterprise leaders were saying they considered Big Data and advanced analytics initiatives a necessity in order to remain competitive. This year started with even bigger spike in number of new Big Data projects announced by top players like Hortonworks and MapR as well as a set of new technologies coming out to market, including Cloudera Kudu – a new tool designed to offer enterprise-level reliability while keeping NoSQL-like performance.

Big Data has come a long way in a short amount of time, and it shows no signs of slowing down, so it’s up to today’s business leaders to determine how they can leverage Big Data trends in an enterprise environment. Though this is not an easy undertaking, the start of every new project can be broken into three parts: an initial assessment, choosing a plan of attack, and determining specific and achievable goals. […]

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By Valentyn Kropov, Delivery (Engineering) Director for Big Data projects at SoftServe.
Source: dataconomy.com

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