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In the world of unstructured data, a quality data engine is needed to navigate through all the disparate sources of data that you utilize. This data engine needs to be able to interface with a variety of data types and languages, too, as well as be usable with the most common database query language—SQL.

Today, there are a remarkable number of data platforms, engines, warehouses, lakes, and more at your disposal. As such, sorting through all these options and building the right data ecosystem for your company has become a serious challenge.

Read this white paper to learn about different data engines like Spark, Hive, and Presto, compare their use cases, and determine which one is right for your company.

Vendor:

Qubole

Posted:

Feb 8, 2021

Published:

Mar 18, 2020

Format:

PDF

Type:

White Paper