There are so many buzzwords these days regarding data management, such as data lakes, data warehouses, databases, data marts, and data swamps. In a recent Oracle Big Data blog post, Sherry Tiao walks through them and covers the definitions, the key differences, and what we see for the future.
The following excerpts from the blog post will give you an idea of what they are and how they relate to each other.
While we expect more companies will move their unstructured data to data lakes on the cloud, where it’s more cost-effective to store and easier to move when it’s needed, we also expect they will continue to keep their structured data in the database or data warehouse. This workload that involves the database, data warehouse, and data lake in different ways is one that works well. We predict we’ll continue to see more of this for the foreseeable future.
Read the entire blog for full definitions of the terms highlighted above—plus a few more—and an illuminating discussion about the key differences.
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