Big Data is Too Big to Die

Big Data is Too Big to Die

Big Data is Too Big to Die

As the traditionalist data analytics professionals dig their heels in and refuse to give in to the Big Data deluge, it is fast becoming clear that the volume of evidence for the new movement is too substantial to deny.

When survival is on the line, size really does matter.

As the traditionalist data analytics professionals dig their heels in and refuse to give in to the Big Data deluge, it is fast becoming clear that the volume of evidence for the new movement is too substantial to deny. There is far more data in NoSQL stacks than there was in SQL, Hadoop has long since superseded Oracle in terms of volume and data “oceans” are now taking the place of data lakes.

The fact that the industry still has teething troubles is not relevant - it is Big, and it is here to stay.

If we consider the pace of technology over the past decade, we have seen vast advancements over such a short period in every sphere. When it comes to the Big Data industry, however, the volume of data available may well have outpaced the ability by which we can analyse it.

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If you have a gigantic orange the size of the moon, you should be able to squeeze out a glass of orange juice for everyone on earth. Due to all sorts of constraints, when Big Data only squeezes out enough for your weekend Church fete, the naysayers feel justified in their criticism.

 



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