Difference Between DBMS and Data Warehouse
In today’s corporate world, every business enterprise, no matter how big or small requires a data base. The more the business grows, the more urgent is the requirement of a data base. The data base is required to keep a check on the growth of a business in a specific period. This reflects the pace at which the business id developing and the data base forms an integral and significant part of a growing business.
DBMS is at times known as the database manager although it is the abbreviated form of Data Base Management System. It is basically a repertoire of computer programs that is devoted for the management of the data base of an organization. It is a complete and comprehensive methodology in use for specific purposes like overall management of digital data bases, creation and maintenance of data, searching and serving other operations relating to the data base.
A Data Warehouse is usually a place where various types’ data bases are stored mainly for purposes of security, archival analysis and storage. The data ware house consists of either one or several computer systems that are networked together form a single computer system.
The Data Base Management Systems consists of four distinct and significant portions in any Data Base Management System such as the query language, modeling language, data structures and in-built mechanisms to handle various transactions. The modeling language illustrates the language of each database that is hosted in the DBMS. At present, there are a host of well preferred approaches such as hierarchical network, relational and object are in vogue. Data structures assist in proper arrangement of individual records, files, fields and their definitions and objects like visual media. The data query language is used for the upkeep of the security of the data through keeping a check on the login data, providing access rights to various users and protocols for adding data to the system. One of the most well known query languages is the Sequential Query Language that is widely used in Relational Data Base Management Systems or
(RDBMS). Ultimately, the mechanism which permits transactions to take place and assist in the concurrency and multiplicity. It ensures that the same record is not amended by several users at the same time thereby maintaining the sanctity of the data continuously. There are backup facilities also available on these DBMS systems.
There are various kinds of database management systems at present throughout the world and each one of them is designed specifically for different purposes like efficient management of databases. One of the most popular data base management products are Oracle, DB2 and the Microsoft Access.
A data warehouse is essentially a place where the entire data of any organization is stored for the main purpose of archiving, reporting and analysis. The data warehouse could comprise of various types of data pertaining to an organization. A data ware house also should possess a system allowing a user to access data with ease, besides being a storage place only. The operations of the data warehouse comprise of maintenance of three layers, the first being the staging layer that is put to use by developers for analysis purposes. The second which is the integration layer is meant for providing a level of abstraction for the users of the data base. The third and the last layer is the access layer that offers the functionalities to users to extract data. One of the major roles that data warehouses perform is in the Decision Support Systems or DSS. The DSS is a methodology that is in widespread use by organizations for both developing and classifying facts, current trends or existing relationships that assist them to frame better decisions for accomplishing their goals and objectives.
There are wide ranging differences between a data warehouse and data base management system or DBMS. A DBMS is a comprehensive system required for managing the data base of an organization and is a computer based application for organizing data, storing and retrieval when the time arises. A data warehouse could be considered to be a kind of a database or a special nature that offers facilities for analysis and reporting purposes. Further, a data warehouse requires a DBMS to make the data organization and recovery far more efficient.