The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights

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Paperback, blz. | Engels
McGraw-Hill Education | e druk, 2011
ISBN13: 9780071745321
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McGraw-Hill Education e druk, 2011 9780071745321
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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 systemsEstablish project goals and implement an effective deployment planBuild accurate logical and physical enterprise data modelsGain insight into your company's transactions with data miningInput, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniquesUse structured input files to define data requirementsEmploy top-down, bottom-up, and hybrid design methodologiesHandle security and optimize performance using data governance tools

Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.

Specificaties

ISBN13:9780071745321
Taal:Engels
Bindwijze:paperback

Inhoudsopgave

Part I: Preparation<br>Chapter 1: Data Warehouse and Business Intelligence Overview<br>Chapter 2: Data in the Organization<br>Chapter 3: Reasons for Building<br>Chapter 4: Business Intelligence and Data Warehouse Strategy<br>Chapter 5: Project Resources: Roles and Insights<br>Chapter 6: Write-It-Up Overview<br>Part II: Components<br>Chapter 7: Business Intelligence: Data Marts and Usage<br>Chapter 8: Enterprise Data Models<br>Chapter 9: Data Warehouse Architecture: Components<br>Chapter 10: ETL and Data Quality<br>Chapter 11: Project Planning and Methodology<br>Part III: Let's Build<br>Chapter 12: Working Scenarios<br>Chapter 13: Data Governance<br>Chapter 14: Post-Project Review<br>Index

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        The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights