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

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Develop a custom, agile data warehousing and business intelligence architectureEmpower 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 toolsRobert 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.Product details Publisher: McGraw-Hill Osborne Media; 1 edition (May 12, 2011) Publication Date: May 12, 2011

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Develop a custom, agile data warehousing and business intelligence architectureEmpower 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 toolsRobert 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.Product details Publisher: McGraw-Hill Osborne Media; 1 edition (May 12, 2011) Publication Date: May 12, 2011