Populating A Data Warehouse Using Astera Data Virtualization2020-10-08T12:48:08+00:00

Populating A Data Warehouse Using Astera Data Virtualization

When populating a data warehouse from disparate sources, data extraction is the first step in the process – especially when data is stored in disparate systems. Streamlining data retrieval can significantly optimize the performance of the data warehousing process. Therefore, it’s essential to find a flexible and efficient method to access data.

Data virtualization serves as an ideal approach for federating queries in near real-time from structured, semi-structured, and unstructured sources systems, and creating a single access point for a data warehouse. Feeding virtualized sources to a data warehouse using traditional loading patterns creates a far more agile, scalable, and efficient data warehousing architecture.

Find out how Astera Data Virtualization makes it easier for users to populate a data warehouse by simplifying data access and eliminating data movement in this whitepaper.

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