Data is everywhere—so is the demand to access and analyze it. “Big data” as a buzzword may have settled down, but the “three Vs” of big data—volume, variety, and velocity—apply more than ever to big data analytics use cases. Though subjective, these and other Vs the industry has discussed (like variability, validity, veracity, etc.) serve to remind us that big data today is still simply data—it’s just gotten so complex that organizations must innovate to effectively gather, curate, understand, and make use of it.
Digital transformation is happening across every industry and all sizes of organizations with a multitude of “things” creating massive amounts of data in many formats and sources. Organizations are collecting, processing, and analyzing more diverse data than ever before.
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