1- A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data.
2- Data warehousing is subject-oriented, integrated, time-variant, and non-volatile collection of data in support of management’s decision-making process.
3- A data warehouse is data
management and data analysis.
4- Goal: is to integrate enterprise
wide corporate data into a single repository from which users can
easily run queries.
-----------------------------------------------------------------------------------------------------------------------------
What is data warehousing?
Subject- Oriented à DWH is organized
around the major subjects of the enterprise..rather than the major application
areas.This is reflected in the need to store decision-support data rather than
application-oriented data. For example, to learn more about your company’s sales
data,you can build a warehouse that concentrates on sales.
Non Volatile à Nonvolatile
means that,once entered into the warehouse, data should not change.This is
logical because the purpose of a warehouse is to enable you to analyze what has
occurred.
Integrated à Integration is closely related to subject
orientation. Data warehouses must put data from disparate sources into a
consistent format. They must resolve such problems as naming conflicts and
inconsistencies among units of measure. When they achieve this, they are said
to be integrated.
Time
Variant à In order to discover trends in business, analysts
need large amounts of data. This is very much in contrast to online transaction
processing (OLTP) systems, where performance requirements demand that
historical data be moved to an archive. A data warehouse’s focus on change over
time is what is meant by the term time variant.
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