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LM 7 Data Warehouse

LM 7 Data Warehouse. Dr. Lei Li. Learning Objectives. Describe the needs for data warehouse Describe the three levels of a data warehouse Explain the independent and dependent data mart Explain the basic concept of big data, NoSQL , OLAP, data visualization, and data mining.

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LM 7 Data Warehouse

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  1. LM 7Data Warehouse Dr. Lei Li

  2. Learning Objectives • Describe the needs for data warehouse • Describe the three levels of a data warehouse • Explain the independent and dependent data mart • Explain the basic concept of big data, NoSQL, OLAP, data visualization, and data mining.

  3. Data Warehouse • A relational database designed for query and analysis. • Subject-oriented: e.g. customers, patients, students, products • Integrated: consistent naming conventions, formats, encoding structures; from multiple data sources • Time-variant: can study trends and changes • Non-updatable: read-only, periodically refreshed • Data Mart • A data warehouse that is limited in scope

  4. Why Data Warehouse? • Integrated, company-wide view of high-quality information (from disparate databases) • Separation of operational and informational systems and data (for improved performance)

  5. Difference between OLTP & Data Warehouse

  6. Three Tier Data Warehouse Architecture Image source: http://www.tutorialspoint.com/dwh/dwh_architecture.htm

  7. Data Warehouse Architecture

  8. Data Warehouse Architecture with Data Mart

  9. Data Mart • Stand-alone data mart • Dependent data mart

  10. Stand-alone data mart Image source: http://www.zentut.com/data-warehouse/data-mart/

  11. Dependent Data Mart

  12. Other Database Concepts • Data mining – knowledge discovery in database • Big Data • No-SQL database

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