Analyzing Database Management Systems ( Dbms ) Come Into Play

Analyzing Database Management Systems Data. It encompasses every person on earth, whether they realize it or not. Throughout each’s life they collect data and have their data collected by others. Height, weight, shopping habits, health history are all examples of data that is tracked. The question is what is done with this data? People, companies, even the government analyze the data they collect and analyze it with the hope of discovering new information. How they accomplish this is particularly interesting and opens the door for a larger discussion. In the world of computer science large groups of data collected are referred to as databases. When there is a multitude of these databases, a way to manage all of the information is†¦show more content†¦Ã¢â‚¬Å"OLAP summarizes data and makes forecasts,† and â€Å"Data mining discovers hidden patterns in data† [2]. In general, OLAP evaluates information in a broader sense while data mining can be appli ed to find deeper levels of information which may not have been known. The two approaches that may be operated separately or implemented together to create another way of analyzing data. OLAP Online analytical processing (OLAP) is generally used to provide analysis of complex data. Often it is applied with a data warehouse. A data warehouse is similar to a regular database but they have differences. According to Inmon a data warehouse is â€Å"a subject-oriented, integrated, non-volatile, time-variant collection of data in support of management’s decisions [3]. Data warehouses provide more detailed information than regular databases, one reason they are recommended for analytics. Another way of describing it is, â€Å"Data warehousing is a collection of decision support technologies, aimed at enabling the knowledge worker (executive, manager, analyst) to generate wiser and faster decisions. [4] When using OLAP tools with data warehousing it can give the decision maker a clear advantage, which could give insight into why it is so highly valued. These mechanisms can help increase efficiency and provide them with a powerful advantage. At the core of any OLAP system is an OLAP cube Analyzing Database Management Systems ( Dbms ) Come Into Play Analyzing Database Management Systems Data. It is all around every person on this earth whether they realize it or not. Throughout each and everyone’s life they collect data and have their data collected by others. Height, weight, shopping habits, health history are all examples of data that is tracked. The question is what is done with this data? People, companies, even the government analyze the data they collect and analyze it with hope of discovering new information. How they do this is particularly interesting and opens the door for a larger discussion. In the world of computer science large groups of data that are collected are referred to as databases. When there is a multitude of these databases, a way to manage all of this information is needed. That is where database management systems (DBMS) come into play. â€Å"A database management system is a collection of programs that enables users to create and maintain a database. The DBMS is a general-purpose soft ware system that facilitates the processes of defining, constructing, manipulating, and sharing databases among various users and applications† [1]. Analyzing these database managements systems could potentially have huge benefits since companies could determine when and where to sell products, track certain trends, and possibly predict future outcomes. Two popular ways to analyze these large amounts of data are OLAP, online analytical processing tools and/or data mining. According to Oracle, one of theShow MoreRelatedAnalyzing Database Management Systems ( Dbms ) Come Into Play1888 Words   |  8 PagesAnalyzing Database Management Systems Data. It encompasses every person on earth, whether they realize it or not. Throughout each’s life they collect data and have their data collected by others. Height, weight, shopping habits, health history are all examples of data that is tracked. The question is what is done with this data? People, companies, even the government analyze the data they collect and analyze it with the hope of discovering new information. How they accomplish this is particularlyRead MoreBig Data Vs. Public Sector Organizations Essay2516 Words   |  11 Pagespublic sector organizations have come to appreciate that the key to better decisions, more effective customer or citizen engagement, sharper competitive edge, hyper efficient operations and compelling product and service development is data — and lots of it (Cameron McNaught,2010). 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