Sponsored by Vertica
Unifying Analytics – Data Analytics Architecture Evolution
The data warehouse has been an analytics workhorse for decades. Unprecedented volumes of data, new types of data, and the need for advanced analyses like machine learning brought on the age of the data lake.
Now, many companies have a data lake, a data warehouse, or a mishmash of both, possibly combined with a mandate to go to the cloud. The end result can be duplicated effort, missed opportunities, projects that never get into production, and a lot of investment without return.
Look under the hood at how in-production data architectures have adapted over time.