Making a Case for Cloud Data Lakes

Data lakes are having a moment. According to one recent report, they are expected to grow by about 30% over the next five years. Tomer Shiran, CEO of data-as-a-service vendor Dremio, explains what they are, why they make sense in the cloud and how to make them work best for your company. Dremio has its own cred: Founded just five years ago, the company is routinely named to "best of" lists, including Pagan Research's list of "Most Promising Big Data Startups in the World" and CRN's "10 Hottest Big Data Startups of 2019."

What is a data lake?

It provides a united source for all data in an organization by replacing the many siloed file and object stores that hold collections of data that tend to spring up inside organizations. Data lakes are also inherently open, providing clear separation of storage from compute and processing, and provide a non-proprietary storage alternative compared to ingesting data into proprietary solutions such as data warehouses. This gives organizations the flexibility to bring best-of-breed processing to their data as needed, while maintaining full control of the data itself.

Also read : what is lanman server

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