Database and Data Warehouse - 2998 Words

I. Introduction â€Å"Everything has changed, except our way of thinking.† - Albert Einstein Data are a vital organizational resource that needs to be managed like other important business assets. Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external environment. This growth drives corporations to analyze every bit of information that is extracted from huge data warehouses for competitive advantage. This has turned the data storage and management function into a key strategic role of information age. I. Background 1. Evolution of Data Systems The demand for information has rise in every organization. Organizations have steadily become global and widespread. Organizations†¦show more content†¦Database Development Database development involves data planning and database design activities. Data models that support business processes are used to develop databases that meet the information needs of the users. 8. Importance of Database Vulnerability Assessment Many organizations rely on database vulnerability assessments as part of their information security strategies to ensure data is protected and to guard against information theft that could expose a company to liability. A database vulnerability assessment hunts for weaknesses in databases and searches for anything out of the ordinary, allowing organizations to act before they’re subjected to a devastating attack. 9. Database Components By Tools i. Oracle Oracle Database 11g Standard Edition is optimized for deployment in midsized business environments. It is supported by Windows, Linux and Unix. ii. MySQL The MySQL database has become the worlds most popular open source database because of its consistent fast performance, high reliability and ease of use. MySQL runs on more than 20 platforms including Linux, Windows, OS/X, HP-UX, AIX, Netware, giving you the kind of flexibility that puts you in control. MySQL offers one of the most powerful transactionalShow MoreRelatedThe Success Of The Database And Data Warehouse938 Words   |  4 PagesThe success of the database and data warehouse (DW) project really depends on the quality of data. If data quality is not good enough, the information will logically be unreliable when the business users retrieve it from the database/DW environment. Good quality of data will be useful for the decision maker to make the right decision, gain more trust and make the organization more efficient. In contrast, the bad quality of data will drive the decision maker to make a wrong decision. Debbarma, NathRead MoreDatabase Analysis : The Data Warehouse1153 Words   |  5 Pages the data warehouse may not meet the requirements of your organization. Organizations have information needs that are not completely served by a data warehouse. The needs are driven as much by the maturity of the data use in business as they are by new technology. For example, the relational database at the center of the data warehouse limits is ideal for data processing to what can be done via SQL. Thus, if the data cannot be processed via SQL, then it limits the analysis of the new data sourceRead MoreDatabase Server : A Data Warehouse Server1439 Words   |  6 PagesDatabase servers are expected to reach the needs of the business, market and end users by providing tremendous performance. Since companies are moving towards â€Å"big data† technology to support larger audience there is always a need to have a performance enriched data warehouse server running behind to accommodate the needs of end users. A traditional database server is capable of handling gigs of data, providing a minimal amount of performance. This is due to the restricted amount of pre-defined configurationsRead MoreData Warehouse : Database Analysis And Query1851 Words   |  8 PagesDATA WAREHOUSE: OVERVIEW: Data warehouse is a central repository integrating data from various operating systems for validation of data, prediction etc .Data Warehouse is a relational database used for analysis and query rather than transactional database. It is used to collect historical data from various sources, integrate, analyze a particular subject, report. Data warehouse is time variant i.e one can retrieve any older data and once data enters data warehouse it cannot change [1]. AccordingRead MoreData Warehouse Components And Architecture1546 Words   |  7 PagesDATA WAREHOUSE COMPONENTS ARCHITECTURE Lecture Note # 02 The data in a data warehouse comes from operational systems of the organization as well as from other external sources. These are collectively referred to as source systems. The data extracted from source systems is stored in a area called data staging area, where the data is cleaned, transformed, combined, deduplicated to prepare the data for us in the data warehouse. The data staging area is generally a collection of machines where simpleRead MoreData Warehousing : A Data Warehouse1151 Words   |  5 Pagestechnology will grow radically in next few years. Data warehouse: Data warehousing is an efficient system which store the past as well as current data used for creating reports. Data warehousing system is used for decision making by analyzing the reports. A data warehouse is a relational database, which is designed for analysis and query. It helps an organization to consolidate and analyze data from different sources and make decision. A data warehouse environment consists of OLAP (On-Line AnalyticalRead MoreIntegrity : Integrity And Integrity1144 Words   |  5 PagesIntegrity constrains provide a way of ensuring that data are entered or updated in a database by authorized users do not result in a loss of data quality. Integrity constrains could either be a specification of uniqueness for values of column (for example, only allowing the input of â€Å"M† for male or â€Å"F† for female in the gender field) or validation for values of a column (for example, allowing only a specified range of values for a field that records a patientà ¢â‚¬â„¢s temperature. Integrity Constrains ReferentialRead MoreManagement Informational System1165 Words   |  5 Pagesthe term database. How is it different from a database management system? Database is simply a collection of data. A database helps and provides managers and decision making people with timely and relevant information that leads the company to organizational success. A database management system is totally different than regular database. A (DBMS) is a group of programs that manipulates the database. 2. What is the hierarchy of data in a database? The hierarchy of data in a database is bitsRead MoreAn Overview Of Data Warehousing1707 Words   |  7 Pages An Overview 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, focusingRead MoreAssignment 3 Business Intelligence and Data Warehouses752 Words   |  4 PagesIntelligence and Data Warehouses Student’s name: Professor’s name: Course title: 1. 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 sources