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Training Centers » General » General » Orbit Multimedia
DATA WAREHOUSING
Posted Date:
17 Sep 2009
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Posted By: Subbu
Member Level: Diamond
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| Training Center |
Orbit Multimedia |
| Course Name |
DATA WAREHOUSING |
| Category |
General |
| Fees |
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| Duration |
3-6 months |
| Location |
Hyderabad , Andhra Pradesh |
An enterprise-wide implementation that replicates data from the same publication table on different servers/platforms to a single subscription table. This implementation effectively consolidates data from multiple sources.
A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems.
A data warehouse might be used to find the day of the week on which a company sold the most widgets in May 1992, or how employee sick leave the week before the winter break differed between California and New York from 2001–2005.
While operational systems are optimized for simplicity and speed of modification (see OLTP) through heavy use of database normalization and an entity-relationship model, the data warehouse is optimized for reporting and analysis (online analytical processing, or OLAP). Frequently data in data warehouses are heavily denormalised, summarised or stored in a dimension-based model. However, this is not always required to achieve acceptable query response times.
Data Warehouse is a technology which abstracts useful data and analyzes useful data, then helps companies make best business decisions. Data Warehouse is becoming the core technology of Business Intelligence field.
Data Warehousing is in its child stage as of now. The number of business organizations who recognize the importance of data warehouse is increasing day by day. With this, the need for Data Warehouse experts and quality professionals with sound technical knowledge to develop and maintain the Data Warehouse environment is also growing exponentially.
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