Big Data

The term big data has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term. Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. Big data philosophy encompasses unstructured, semi-structured, and structured data, however, the main focus is on unstructured data. Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. – Wikipedia

Modern Data Platform

One of the building blocks of digital transformation is a modern data and analytics platform that harnesses data’s power to reveal patterns and make predictions. Being able to understand and tap into these predictions helps fuel digital transformation for enterprises worldwide, including here at Microsoft.

Implementing a modern data and analytics platform allows us to gather, store, and process data of all types and sizes from any data source. This deeper data understanding unlocks valuable insights, making it easier to identify trends and risks that help us ship on time, provide a quality product for our customers, cut down on business costs, and optimize internal operations. – Microsoft

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