What is Data Management!
A series of comprehensive procedures that must be followed and have developed and maintained quality data, using technology and available resources, this is what is called Data Management. It can also be defined that this is an architecture implementation based on predetermined policies and procedures to manage the complete data lifecycle of a company or organization. It consists of all disciplines related to data management resources.
Procedures and the key stagesor disciplines of data management:
Database Administration, For all aspects of data management is a group of experts who are responsible. The responsibility and role of this team depends on the company for all policies towards database management. This system is implemented using software protocols and procedures, to maintain the following properties:
a. Development and testing database,
b. Security of database,
c. Backups of database,
d. Integrity of database, and its software,
e. Performance of database,
f. Ensuring maximum availability of database.
The so-called Database Management system, It is one of the computer software from various types and brands available these days. These software are designed for specifically for the purpose of data management. Among other: Ms Access, Ms SQL, Oracle, MySql, etc. It issued one of these depends upon the company policy, expertise and administration.
Meaning Data Warehousing, the system of organization of historical data, its storage capability etc. This system contains the raw material for the management of query support systems. That raw material is such that the analysts can retrieve any type of historical data in any form, like trends, time stamped data, complex queries and analysis. These reports are essential for any company to review their investments, or business trends which in turn will be used for future planning, this is what is called Data warehousing.
The data warehousing are based on following terms:
a. The databases are organized so that all the data elements relating to the same events are linked together,
b. All changes to the databases are recorded, for future reports,
c. Any data in databases is not deleted or over written, the data is static, readable only,
d. The data is consistent and contains all organizational information.
The process of creating a data model by applying and model theory to create data model instance, Data modeling. The data modeling is actually, defining, structuring and organizing the data using predefined protocol. Then the theses structures are implemented in data management system. In addition, it also will impose certain limitation on the database with in the structure this is what is called Data modeling.