One question I get asked a lot by my clients recently is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable products, they both have many of the same uses.
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We’ve had software as a service, platform as a service and data as a service. Now, by mixing them all together and massively upscaling the amount of data involved, we’ve arrived at Big Data as a Service (BDaaS).
It might not be a term you’re familiar with yet – but it suitably describes a fast-growing new market. In the last few years many businesses have sprung up offering cloud based Big Data services to help other companies and organizations solve their data dilemmas.…Continue
As the amount of digital information generated by businesses and organizations continues to grow exponentially, a challenge –or as some have put it, a crisis–has developed.
There just aren’t enough people with the required skills to analyze and interpret this information–transforming it from raw numerical (or other) data into actionable insights – the ultimate aim of any Big Data-driven initiative.…Continue
Data scientists are in notoriously high demand, so when your company is ready to make the leap into big data, it pays to understand how to tell if you’re getting a good one.
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Because of the vast…Continue