Data Warehouse

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A data warehouse is a large central data repository of current, history and summarised data coming from operational and external sources used primarily for analysis. Data Warehouses is large historical databases for decision-support that are loaded with new data on a periodic basis. “Single Version of the truth” Data warehousing is a component of BI. This category covers general subject over applications such as Business Intelligence and Decision Support Systems. The structure of a data warehouse is very different from that of an operational system: A data warehouse supports on-line analytical processing (OLAP), as against the on-line transaction processing (OLTP) supported by the operational systems. In the past, DataWarehouse had to do three things: Data Warehouses were invented first to improve the performance of large queries. A DataWarehouse must be commutative throughout all this layers. A data set in the source must be retrieved in all layers (Staging Area, DataWarehouse, Data M

Data Warehouse Expand Sidebar Collapse Sidebar Data Warehouse 17 pages Data Loading (Fast Refresh) Data Marts Data Models Fast Table Scan Platform Features and Techniques Data Warehouse Automation Tools (DWA) Glossary Layer (Architecture) Persistent layer (Fundamental Layer | Operational Data Store - ODS) Contrasting OLTP and Data Warehousing Environments System OLTP vs Data Warehouse RDBMS vs OLAP Server Rule Staging Area 34 Kimball Subsytems Very Large Database (VLDB) # and % The Workload is always mixed Data Warehouse What’s a data warehouse? A data warehouse is a large central data reposit

Data Warehouse

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