Managing data for AI and analytics at scale with an open data lakehouse approach: IBM watsonx.data
Eliminate information silos that are difficult to integrate


Leading enterprises face similar problems with their data; information silos that are difficult to integrate due to a lack of definition and governance. In turn, this leads to isolated data that is unavailable for analysis.
This IDC white paper discusses the topic of managing data used for broad-based AI and analytics use cases, both in the formal context of a data warehouse and in the more dynamic context of a data lake.
Discover how IBM watsonx.data supports a range of current standard technologies for moving, handling, and accessing data. This supports managing that data all together in a feature-rich unified environment.
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