Isas report

Isas report

• 1.
  Coordinator : Nguyen Tien Cuong Group : 3 Student : Nguyen Tuan Anh Do Thi Hoa Nguyen Nam Hoang Nguyen Duy Hai Quarter : 2
• 2.
   Microsoft  Oracle  IBM  SAP
• 4.
  A data warehouseis a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but can include data from other sources Data warehouses separate analysis workload from transaction workload and enable an organization to consolidate data from several sources. In addition to a relational database, a data warehouse environment can include an extraction, transportation, transforma tion, and loading (ETL) solution, online analytical processing (OLAP) and data mining capabilities, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users
• 5.
  These terms areused as follows Subject Oriented: The data in the data warehouse is organized so that all the data elements relating to the same real - world event or object are linked together. Integrated: Though the data in the data warehouses is scattered around different tables, databases or even servers but the data is integrated consistently in the values of variables, naming conventions and physical data definitions. Nonvolatile: Data in the data warehouse is never over-written or deleted - once committed, the data is static, read - only, and retained for future reporting. Time – variant: The changes to the data in the data warehouse are tracked and recorded so that reports can be produced showing changes over time.
• 6.
  A data warehousemust develop a process to collect the pure raw materials and then continually repackage them to serve evolving business initiatives. Data warehouses must be built, managed, and delivered. We do not want to change the technology so it’s important to get it right. A long feature set is not beneficial if development is onerous and cycle turnaround times are long and costly. Each new initiative that a data warehouse serves should be treated as a project within a program. The data warehouse process is an information product process. We must establish the guiding principles and champion, architect, deliver, and support iterations. The data warehouse engine is the company’s information factory and it should have high reliability.
• 7.
  Microsoft SQL Server2005 provides a manageable, scalable data warehouse platform. With several enhancements in SQL Server 2005, Microsoft enables Information Technology departments to productively manaSge their growing data volumes along with the rapid increase in usage of the data warehouse. SQL Server database management system Accessible techniques to manage deployment Delivering a data warehouse Interactive data access SQL Server Analysis Services Reporting Services
• 8.
  Through the technologyunderlying the Microsoft Data Warehousing Framework and the remarkable progress in Microsoft SQL Server 7.0, Microsoft is working to reduce complexity, improve integration, and lower costs associated with storage data. Customers investing in data storage technology based on Microsoft can be assured that they are creating applications with the best possible economic considerations, while maintaining full scalability and reliability of their systems.