Data Lakes Evolve: Divisive Architecture Fuels New Era Of AI Analytics
DataCenter Knowledge, Friday, September 13th, 2024
The once-simple data lake continues to evolve to drive enterprise analytics. That matters more today as AI knocks on the corporate door.
When the idea arose in the early 2010s, the data lake looked to some people like the right architecture at the right time. The data lake was an unstructured data repository leveraging new low-cost cloud object storage formats like Amazon's S3. It could hold large volumes of data then coming off the web.
To others, however, the data lake was a 'marketecture' that was easy to deride. Folks on this side called it the 'data swamp.' Many in this camp favored the long-established - but not inexpensive - relational data warehouse.
Despite the skepticism, the data lake has evolved and matured, making it a critical component of today's AI and analytics landscape.