The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights
Autor Robert Labergeen Limba Engleză Paperback – 16 iul 2011
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Develop a custom, agile data warehousing and business intelligence architecture
Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide.- Understand the components of BI and data warehouse systems
- Establish project goals and implement an effective deployment plan
- Build accurate logical and physical enterprise data models
- Gain insight into your company's transactions with data mining
- Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques
- Use structured input files to define data requirements
- Employ top-down, bottom-up, and hybrid design methodologies
- Handle security and optimize performance using data governance tools
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Specificații
ISBN-13: 9780071745321
ISBN-10: 0071745327
Pagini: 416
Dimensiuni: 188 x 234 x 21 mm
Greutate: 0.68 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 0071745327
Pagini: 416
Dimensiuni: 188 x 234 x 21 mm
Greutate: 0.68 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
Part I: Preparation
Chapter 1: Data Warehouse and Business Intelligence Overview
Chapter 2: Data in the Organization
Chapter 3: Reasons for Building
Chapter 4: Business Intelligence and Data Warehouse Strategy
Chapter 5: Project Resources: Roles and Insights
Chapter 6: Write-It-Up Overview
Part II: Components
Chapter 7: Business Intelligence: Data Marts and Usage
Chapter 8: Enterprise Data Models
Chapter 9: Data Warehouse Architecture: Components
Chapter 10: ETL and Data Quality
Chapter 11: Project Planning and Methodology
Part III: Let's Build
Chapter 12: Working Scenarios
Chapter 13: Data Governance
Chapter 14: Post-Project Review
Index
Chapter 1: Data Warehouse and Business Intelligence Overview
Chapter 2: Data in the Organization
Chapter 3: Reasons for Building
Chapter 4: Business Intelligence and Data Warehouse Strategy
Chapter 5: Project Resources: Roles and Insights
Chapter 6: Write-It-Up Overview
Part II: Components
Chapter 7: Business Intelligence: Data Marts and Usage
Chapter 8: Enterprise Data Models
Chapter 9: Data Warehouse Architecture: Components
Chapter 10: ETL and Data Quality
Chapter 11: Project Planning and Methodology
Part III: Let's Build
Chapter 12: Working Scenarios
Chapter 13: Data Governance
Chapter 14: Post-Project Review
Index