A Hadoop-based enterprise data hub allows you to process and access more data than ever before, so it has many near-term (operational) as well as long-term (STRATEGIC) use CASES across multiple industries. GENERALLY, enterprise data hub use cases fall into these broad categories:

Transformation and enrichment: Transform and process large amounts of data more quickly, reliably, and affordably (for loading into the data warehouse, for example).

Active archive: Get access to data that would otherwise be taken offline (typically to tape) due to the high cost of actively managing it.

Self-service exploratory BI: Allow users to explore data, with FULL security, using traditional interactive business intelligence tools via SQL and keyword search.

Advanced analytics: Rather than making them examine samples of data, or snapshots from short TIME periods, let users combine all historical data, in its full fidelity, for comprehensive analyses.

A Hadoop-based enterprise data hub allows you to process and access more data than ever before, so it has many near-term (operational) as well as long-term (strategic) use cases across multiple industries. Generally, enterprise data hub use cases fall into these broad categories:

Transformation and enrichment: Transform and process large amounts of data more quickly, reliably, and affordably (for loading into the data warehouse, for example).

Active archive: Get access to data that would otherwise be taken offline (typically to tape) due to the high cost of actively managing it.

Self-service exploratory BI: Allow users to explore data, with full security, using traditional interactive business intelligence tools via SQL and keyword search.

Advanced analytics: Rather than making them examine samples of data, or snapshots from short time periods, let users combine all historical data, in its full fidelity, for comprehensive analyses.