Like a river tumbling down a mountain, the process of data analytics never stands still. It’s always on the move, evolving with new technologies and strategies for extracting business value from ever-larger volumes of data. Today is no exception, as we move into the era of the consolidated data lake that separates compute and storage to enable analytics applications across the enterprise.
More on that point in a moment, but first let’s consider the backstory — the evolution of big data and data warehousing. When I started in this work 20 years ago, businesses were challenged to gain intelligence from ever-growing datasets in as close to real time as possible.