Unified Data Warehouse
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The typical architecture of a DW consists of different components where data is passed from one component to the next after some critical operation is performed on the data. The structure of a unified data warehouse consists of a subset of the components contained in the Data warehouse architecture, namely: the data sources, the core DW, the data marts, the Extraction, Transformation and Loading (ETL) processes and the metadata repositories.
The most important benefit of unified data warehousing comes from the fact that all the data is based on one central premise: as a result, there is no need to analyze the data separately in order to convert it into actionable information which can facilitate an improved decision-making process.
Advantages Offered by a Unified Data Warehouses:
- Data warehouses offer added support for data, in that they are designed to track, manage, and analyze information, providing a great environment that is designed for decision support, analytics reporting, and data mining.
- A unified data warehouse works hand-in-hand with other analytics programs to promote company growth.
- All the company’s data is constantly available for analyzing and planning purposes
- Users can store vast amounts of data with a large variety of parameters. That data can be drawn from multiple, usually unrelated sources.
- A unified data warehouse has the ability to refine data, eliminating redundant information, while increasing overall data quality.
- Keeps data manipulation to a minimum and integrity at its highest level.
- Provides improved and up-to-date information
Additional Resources
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