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A new category of analytics platform has evolved. The cloud data lake engine encourages cloud data lake maturity by improving 3 things:

1. It applies real-time SQL querying and a consolidated semantic layer to multi-tenant object storage
2. It enables enterprises to support interactive BI workloads, simplify data access, and use resources more efficiently.
3. It uses in-memory, columnar, and parallel processing to meet real-time needs

This guide walks you through the top takeaways and recommendations for the cloud data lake engine, and explores how it can positively impact your business.

Vendor:

Dremio

Posted:

Feb 8, 2021

Published:

Jul 10, 2020

Format:

PDF

Type:

White Paper