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Saturday, April 9, 2011

Data processing


Data processing types:

    Transactional: High-volume and easy-processing collections of knowledge that generate by organizations a day.

    Analytical: Analysis of accumulated information frequently by end users; additionally remarked as business intelligence, includes decision call support systems (DSSs), enterprise info systems, internet applications, querying, and alternative end-user activities.

Multidimensional information Model:

• The third-dimensional information model is an integral a part of On-Line Analytical process, or OLAP. as a result of OLAP is on-line, it should offer answers quickly.

• The third-dimensional information model is meant to unravel complicated queries in real time.

• The third-dimensional information model is vital as a result of it enforces simplicity.

• The central attraction of the dimensional model of a business is its simplicity.... that simplicity is that the basic key that permits users to grasp databases, and permits software package to navigate databases expeditiously.

• The relative implementation of the third-dimensional information model is usually a star schema,or a snowflake schema.

Star schema:

• The star schema consists of 1 or additional truth tables and one or additional dimension tables that ar connected through foreign keys.

• dimensions ar pessimistic with every dimension being diagrammatic by one table

Snowflake schema:

• a kind of star schema within which the dimension tables ar partially or totally normalized.

• Dimensions ar normalized into multiple connected tables.

Data warehouse:

• A DW could be a subject homeward, integrated, time variant and non volatile assortment of knowledge in support of management’s deciding} process. {a information|a knowledge|an information} warehouse is that the main repository of the organization's historical data, its company memory

• these days organizations use DW to store analytical information so as to put strategic info within the hands of call manufacturers to assist productivity and empower users for creating higher choices, resulting in larger competitive advantage.

Data retail store definition:

• information marts ar analytical information stores designed to specialize in specific business functions for a selected community among a company. information marts ar typically derived from subsets {of information|of knowledge|of information} in an exceedingly data warehouse.

Data retail store types:

1-Dependent information Marts:

Allows you to unite your organization's information in one information warehouse. this offers you the standard blessings of centralization.

2-Independent information Marts

Is created while not the employment of a central information warehouse. this might be fascinating for smaller teams among a company.

3-Hybrid information Marts

Allows you to mix input from sources apart from an information warehouse.

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