Saturday, May 16, 2020

Data Warehousing And The Online Processing Of Data Essay

Data Management Ahmed EL Makki Walden University Abstract We will discuss in this paper the data warehousing and the online processing of data. We will describe the best ways to manage the data and the difficulties that you could face. Also we will talk about how can we solve or reduce these difficulties. Database Management Systems (DBMS) Database Management Systems (DBMS) maximize: ââ€"  Data security ââ€"  Data integrity ââ€"  Data independence Data Warehousing Data warehousing is a powerful business intelligence tool for maximizing the organization’s investment in the information technology. It is can be describe as a collection of decision support technologies, maid to allow executive, manager, and analyst, to make faster decisions. IT managers need to learn and implement data warehousing because it is very powerful tool provides storage, functionality and responsiveness to queries beyond the capabilities of today s databases. It also improves the data access performance. Since it is very rare today to remove the data because most users have only read-access also rapid access to a larger volume of data which could be inconvenient sometimes. Software and systems support started to design systems to support decision makers as online analytical processing (OLAP), decision-support systems (DSS) and data mining. online analytical processing (OLAP): is a software technology that allows users to analyze and view data from multiple points-of-view. OLAP provides dynamicShow MoreRelatedAn Overview Of Data Warehousing1707 Words   |  7 PagesOverview of Data Warehousing Samuel Eda Wilmington University Abstract Data warehousing is a crucial element of decision supporting process, which now for a long time has become a focus of the database industry. Vast number of commercial products and various services has been available now, and all of the top notch database management system vendors now have offerings in this area. This paper provides an overview of history of data warehousing, the type of systems in data warehousing, focusing onRead MoreData Warehousing Concepts, Products And Applications877 Words   |  4 PagesThe text book Data Warehousing concepts, techniques, products and applications by C.S.R. Prabhu. Mainly, the text book gives the information about the data model, online analytical processing systems and tools, data warehouse architecture, data mining algorithms, organizational issues of the data warehouse, data warehouse segmentation, Application of data mining and data warehousing. Firstly, the book describes Data Warehouse is a system where it is used for reporting the data from the wide rangeRead MoreQuestions On The And Functions862 Words   |  4 Pages(APA format). Your report should be around 500 words. [10 marks] Big Data and Data warehouse Introduction Information Technology changes very rapidly. 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Differences between the structures of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data Data Warehouse is a database which is designed to process for query and analysis rather than for transaction processing, and it is usually contains historical data derived from transaction data, but can include data from other sourcesRead MoreSecurity Is A Fundamental Part Of A Structured Business867 Words   |  4 Pagesstress free you can be. For data companies, security is a fundamental part of a structured business; this leads them to develop data security, more specifically, security in data warehousing. Data security is the protection of data from destructive forces and from the unauthorized use or undesirable actions, in systems such as databases. Data warehouses are central repositories of integrated data from one or more disparate sources. 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On-line transaction processing (OLTP) and data warehouses cannot coexist efficiently in the same database environment since the OLTP databases maintain current data in great detail whereas data warehouses deal with lightly aggregated and historical data. Extraction, Transformation, and Loading (ETL) processes are responsible for data integration fromRead MoreBusiness Intelligence Is Becoming An Important Strategic Tool For Business Management922 Words   |  4 Pagessystem which is used by organizations for decision making purpose. It consist of a huge data warehouse or data marts of business data, from which it performs minin g, recognizing, digging or analyzing operations to produce suitable results/reports. BI applications include a wide range of activities for statistical analysis, Data mining, querying and reporting, business performance analysis, Online Analytical Processing, and forecasting and predictive analysis. It provides organizations with significantRead MoreData Analysis And Data Of Data1229 Words   |  5 PagesData: Data is a set of values of measuring or quantitative variables. It contain raw facts, no context and just numbers and text. Data is also called as collection of small matters/ pieces information. Example: 12122014 in this number we don’t have any exact information, so it is a good example for data. Information: Information is data that has been developed and arranged in a regular way. Examples: 12/12/2014 – Final day of classes at Murray State University. $1,000 – My Father’s salaryRead MoreEssay Data Mining1491 Words   |  6 Pages Data Mining Abstract Data mining is a combination of database and artificial intelligence technologies. Although the AI field has taken a major dive in the last decade; this new emerging field has shown that AI can add major contributions to existing fields in computer science. In fact, many experts believe that data mining is the third hottest field in the industry behind the Internet, and data warehousing. Data mining is really just the next step in the process of analyzing data. Instead

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