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But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big dataanalytics powered by AI. Traditional datawarehouses, for example, support datasets from multiple sources but require a consistent data structure.
Users today are asking ever more from their datawarehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?
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Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera DataWarehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.
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As an essential component of supply chain planning, demand forecasting is used by manufacturers, distributors, and retailer to provide insight into their operations and to make informed, profitable decisions on pricing, inventory stock, resource optimization, and more. Inventory optimization to reduce stock-out and overstocking.
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