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As organizations look to take advantage of data lakes, they’re finding that moving to a data lake architecture doesn’t inherently translate into better data analytics or ML projects.

Quality data integration tools are needed to build smooth, workable ETL flows that transform raw data into structure datasets that your data tools thrive with.

Read this short guide to learn the top 6 factors you need to consider when evaluating data transformation platforms to connect your data lake to your wider, complex IT ecosystem.

Vendor:

AWS & Upsolver

Posted:

Jun 9, 2021

Published:

May 13, 2021

Format:

PDF

Type:

White Paper