CHAPTER 2: DATA WAREHOUSING Objectives: After completing this chapter‚ you should be able to: 1. Understand the basic definitions and concepts of data warehouses 2. Understand data warehousing architectures 3. Describe the processes used in developing and managing data warehouses 4. Explain data warehousing operations 5. Explain the role of data warehouses in decision support 6. Explain data integration and the extraction‚ transformation‚ and load (ETL) processes 7. Describe real-time (active) data
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Understanding the Difference between ER and Dimensional Modeling Dimensional Modeling (DM) is a logical design technique that seeks to present data in a standard format that is intuitive and allows for high-performance access [1]. Fundamental idea of dimensional modeling is that every type of business data can be represented as a Cube or Hypercube. Dimensional Modeling is a favorite modeling technique in data warehousing. In DM‚ a model of tables and relations is constituted with the purpose
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Week 2 Question 2 Collapse Top of Form Given the business rule “an employee may have many degrees‚” discuss its effect on attributes‚ entities‚ and relationships. (Hint: Remember what a multivalued attribute is and how it might be implemented.) Reply Quote Email Author Bottom of Form Message Unread Mark as Unread Message Not Flagged Set Flag 1 year ago Sorayuth Chiewchansuwan RE: Week 2 Question 2 Collapse Top of Form An employee may have many degree means that each employee may have more
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systems lean on the relational model and data warehouses on the multidimensional model. The phrase On-Line Analytical Processing (OLAP) means summarizing‚ consolidating‚ viewing‚ and synthesizing data according to multiple dimensions. The process of modeling data warehouse may start from operational system’s database. It may be helpful to convert a relational database schema into a multidimensional database schema in order to discover dimensions that are hidden in a relational database. However‚
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chapter 5 M A O N T I S Y S R O T Technical Foundations of Database Management Database Management Fundamental Data Concepts REAL WORLD CHALLENGE: U.S. Xpress—Lots of Data‚ Not Enough Quality Database Structures Database Development Managing Data Resources Data Resource Management Types of Databases Data Warehouses and Data Mining Traditional File Processing The Database Management Approach F I N INFORMATION TECHNOLOGIES S S S S M S
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Overview * Purpose Translate the logical description of data into the technical specifications of storing and retrieving data. * Goal Create a design for storing data that will provide adequate performance and ensure database integrity‚ security and recoverability. Basically‚ the primary goal of physical database design is data processing efficiency. * Physical Design Process Inputs such as normalized relations and estimation of their volume; definitions of each attributes; expectations
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Fie lFile Organization Terms & Conceptscomprises a record; A computer system organizes data in a hierarchy t A computer system organizes data in a hierarchy that starts with bits and bytes and progresses to fields‚ records‚ files‚ and databases. * A bit represents the smallest unit of data a computer can handle. * A group of bits‚ called a byte‚ represents a single character‚ which can be a letter‚ a number‚ or another symbol. * A grouping of characters into a
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DATABASE A database is a collection of data organized to meet users’ needs. Why This Matters Without data and the ability to process it‚ an organization would not be able to successfully engage in business activities‚ nor would it be able to generate reports to support knowledgeable workers and decision makers which in turn help’s to achieve organizational goals; it would not be able to pay employees‚ send out bills‚ and order new inventory. Databases have made it possible to map the structure
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B.UILDING I.NFORMATION M.ODELLING INTRODUCTION: The construction industry in the 21st century is facing a huge challenge. Building Information Modeling(BIM) is emerging as a technological‚ procedural and strategic new approach to the fields of Architecture‚ Engineering and Construction providing a way for iterating‚ documenting and managing a design through most of its life-cycle from conceptual design‚ design development to construction through operations and management. The bulk of the time
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2013 FRM Candidate Guide [ Overview ] The Financial Risk Manager (FRM®) designation is the most globally respected and widely recognized certification for financial risk management. The FRM Program ensures that Certified FRMs have mastered the necessary skills and knowledge to succeed in today’s rapidly changing global financial industry. To achieve the status of Certified FRM‚ candidates must pass a rigorous two-part‚ practice-oriented examination and have two years of qualified
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