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Data and Knowledge Management

Data and Knowledge Management. Recognize the importance of data, the issues involved in managing these data, and the data life cycle Describe the sources of data and explain how data are collected . Explain the advantages of the database approach .

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Data and Knowledge Management

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  1. Data and KnowledgeManagement Recognize the importance of data, the issues involved in managing these data, and the data life cycle Describe the sources of data and explain how data are collected. Explain the advantages of the database approach. Explain the operation of data warehousing and its role in decision support. Explain data governance and howithelps to produce high-quality data. Define knowledge and describethedifferent types of knowledge

  2. A Single Version of the Truth • Panasonic (www.panasonic.com)

  3. Managing Data • The Difficulties of Managing Data • The Data Life Cycle

  4. Managing Data

  5. The Database Approach • Databasemanagement system

  6. Data and Knowledge Management • The Data Hierarchy • Designing the Database

  7. The Database Approach • Entity-Relationship Modeling

  8. Database Management Systems • Database management system (DBMS) • The Relational Database Model • Structured query language (SQL) • Data Dictionary • Normalization.

  9. Database Management Systems

  10. IT’s About Business • Database Catches Plagiarists

  11. Data Warehousing • Describing the Data Warehouse

  12. IT’s About Business • Using a Data Warehouse to Help Solve Crimes

  13. Data Governance • Knowledge Management • Knowledge • Explicit and Tacit Knowledge Knowledge Management Systems

  14. Data and Knowledge Management

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