IT News - Big Data

Data Is Cheap, Information Is Expensive
datanami, March 13th, 2020
In this age of information, to say that the volume of data is exploding is a stark understatement

"This big bang of big data is estimated to grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, according to a recent IDC and Seagate report. Why?" asks Thomas Hazel in datanami.

"It's simple: The abilities to generate data via cheap compute and save it via cheap storage are directly proportional. That's why, as it has become popular to say, 'data is the new oil' that, when refined, fuels today's information economy.

Any business not partaking in this data revolution, let alone fully immersing themselves in it, is at a severe disadvantage. But doing so in a way that enhances business is much easier said than done...."

Keeping all your data separate prevents good analytics. Learn how to overcome four key challenges of eliminating data silos

"If you want to achieve actionable and impactful insights from your big data, you must have data aggregations that are highly relevant to a particular data algorithm that evaluates them. When this happens, data breakthroughs occur," opines Mary Shacklett in TechRepublic.

"A barrier to this kind of insight is data silos, which exist in virtually every company. But breaking down those silos is still a major work in progress for most organizations. Here's how your enterprise can overcome four key challenges of breaking down data silos..."

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