Data Warehousing is the framework responsible for integrating various data sources and models to achieve business goals.
As a vital constituent of BI, it’s a blend of technologies that aids the strategic use of data – structured, semi-structured and unstructured.
The main emphasis of a data warehouse is to offer a correlation between data from existing systems.
Data analysis tools like Pentaho, Tableau, Jaspersoft, Power BI, SQL clients, and spreadsheets, access the data within the warehouse.
History
The idea of data warehousing goes back to late 1980s when IBM scholars Barry Devlin and Paul Murphy established the “business data warehouse” concept.
Key Components
Functions of Data Warehouse Tools
The New Age Enterprise Data Warehousing (EDW)
Factors driving the future of EDW are agility in cross-functional teams, cloud-based computing and next generation of data.
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