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Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for businessintelligence. Ensure that data is clean, consistent, and up-to-date.
The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their clouddata landscape into two layers: a data lake and a data warehouse. .
The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their clouddata landscape into two layers: a data lake and a data warehouse. .
Dataintelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of DataIntelligence use cases include: Data governance. Cloud Transformation. CloudData Migration. Let’s take a closer look at the role of DI in the use case of data governance.
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