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Maximizing Database Efficiency and Data Warehouse Management

Learn the benefits of databases, relational databases, master data management, and data warehousing. Understand structured, unstructured, and semi-structured information, metadata, and information quality attributes. Explore managing information, database architecture, retrieving information, and multiple databases challenges. Dive into human element issues, ownership challenges, and stakeholders in data warehousing.

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Maximizing Database Efficiency and Data Warehouse Management

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  1. Chapter 4:Databases and Data Warehouses

  2. Learning objectives 1. Information resources 2. Database advantages 3. Relational database 4. Master data management 5. Data warehouse 6. Information management

  3. Information resources • Structured information • Unstructured information • Semi-structured information • Metadata

  4. Quality of information • Accuracy • Precision • Completeness • Consistency • Timeliness • Bias • Duplication

  5. Managing information

  6. File processing systems • Redundancy and inconsistency • Lack of integration • Inconsistent definitions • Dependence

  7. Databases • Reduced redundancy • Integrity and accuracy • Ability to adapt to changes • Performance and scalability • Security

  8. Database architecture • One to one (1:1) • One to many (1:M) • Many to many (M:M)

  9. Relational database • Tables of records • Link field in one table to field in another table • Separates data from paths to retrieve data

  10. Data model (1:2) • Entities and attributes • Primary key • Normalization

  11. Data model (2:2)

  12. Retrieving information • Structured query language (SQL) • Interactive voice response (IVR) • Natural language interfaces

  13. Managing the database • Performance tuning and scalability • Integrity, security, and recovery • Documentation

  14. Multiple databases • Integration challenges • Shadow systems • Master data management • Data stewards

  15. Data warehouses

  16. Human element • Ownership issues • Databases without boundaries • Stakeholders

  17. Summary 1. Information resources 2. Database advantages 3. Relational database 4. Master data management 5. Data warehouse 6. Information management

  18. UK police case • Video surveillance • Automatic plate number recognition • Database • Queries and data mining • Privacy

  19. Colgate Palmolive case • $15 billion sales, 70 countries • Consistency in products and data • Colgate Business Planning (CBP)—profit, loss and ROI by product, region, and retailer • Reinvested $100 million in most profitable promotions, goal $300 million

  20. Chapter 4 - 20

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