IBM DataStage

Digital enterprises are creating and consuming data like never before—today’s data landscape looks significantly different than it did even a few years ago. Enterprise data is stored in disparate data stores—whether it’s transactional data representative of customers for an organization, product data from suppliers, or operational data generated about day-to-day operations. This data is further spread across multiple systems, including various multicloud and hybrid cloud environments, and data lakes. Moreover, organizations are using their enterprise data warehouses (EDWs) for purposes for which they were never originally intended, including storing large volumes of unused data and supporting unstructured data from social media and other data sources.

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