In the early days of big data that followed the invention of Hadoop at Yahoo, proponents emphasized its potential for replacing bulging enterprise data warehouses focused on business intelligence. Open source Hadoop data tooling was posed as an alternative to existing systems seen as expensive and ill-suited for the ever-larger volumes of arriving data.
That emphasis has shifted over time to complementing existing data warehouses and more. Hadoop applications have often come to be called data lakes, and the shifts just keep on coming. Big data tooling has expanded far beyond mere data warehouses, according to Mike Matchett, an analyst and founder of the Small World Big Data consultancy.
Author: Jack Vaughan