Managing data for AI and analytics at scale

Managing Data for AI and Analytics at Scale with an Open Data Lakehouse Approach: IBM whitepaper
(Image credit: IBM)

It’s no secret that the amount of data-driven enterprises has exploded over the past 20 years. Unfortunately, data intelligence for these enterprises is difficult due to a lack of observability, lineage information, and catalogs. 

Lack of observability leads to fragmented and incomplete data that make analysis weak at every level. IBM supports a range of standard technologies for moving, handling, and accessing data. 

This eBook explores how companies can manage data used for broad-based AI. It then dives into analytics use cases - in the context of a data warehouse and the more dynamic context of a data lake.

Download now 

Provided by IBM


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