{"product_id":"the-data-warehouse-lifecycle-toolkit-isbn-9780470149775","title":"The Data Warehouse Lifecycle Toolkit","description":"\u003cb\u003eA thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems\u003c\/b\u003e \u003cp\u003eThe world of data warehousing has changed remarkably since the first edition of \u003ci\u003eThe Data Warehouse Lifecycle Toolkit\u003c\/i\u003e was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term \"business intelligence\" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business.\u003c\/p\u003e \u003cp\u003eRalph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing\/business intelligence (DW\/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW\/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.\u003c\/p\u003e \u003cp\u003eChapter 1 Introducing the Kimball Lifecycle 1\u003c\/p\u003e \u003cp\u003eChapter 2 Launching and Managing the Project\/Program 15\u003c\/p\u003e \u003cp\u003eChapter 3 Collecting the Requirements 63\u003c\/p\u003e \u003cp\u003eChapter 4 Introducing the Technical Architecture 109\u003c\/p\u003e \u003cp\u003eChapter 5 Creating the Architecture Plan and Selecting Products 179\u003c\/p\u003e \u003cp\u003eChapter 6 Introducing Dimensional Modeling 233\u003c\/p\u003e \u003cp\u003eChapter 7 Designing the Dimensional Model 287\u003c\/p\u003e \u003cp\u003eChapter 8 Designing the Physical Database and Planning for Performance 327\u003c\/p\u003e \u003cp\u003eChapter 9 Introducing Extract, Transformation, and Load 369\u003c\/p\u003e \u003cp\u003eChapter 10 Designing and Developing the ETL System 425\u003c\/p\u003e \u003cp\u003eChapter 11 Introducing Business Intelligence Applications 473\u003c\/p\u003e \u003cp\u003eChapter 12 Designing and Developing Business Intelligence Applications 505\u003c\/p\u003e \u003cp\u003eChapter 13 Deploying and Supporting the DW\/BI System 541\u003c\/p\u003e \u003cp\u003eChapter 14 Expanding the DW\/BI System 579 \u003c\/p\u003e  \u003cp\u003e\u003cb\u003eRalph Kimball, PhD,\u003c\/b\u003e is the Founder of the Kimball Group and has been a leading visionary in the data warehouse industry since 1982.    \u003c\/p\u003e\u003cp\u003eA thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems \u003c\/p\u003e\u003cp\u003eThe world of data warehousing has changed remarkably since the first edition of \u003ci\u003eThe Data Warehouse Lifecycle Toolkit\u003c\/i\u003e was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques  promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term “business intelligence” emerged to reflect the mission of the data warehouse: wrangling the data out of source systems,  cleaning it, and delivering it to add value to the business. \u003c\/p\u003e\u003cp\u003eRalph Kimball and his colleagues have refined the original set of Lifecycle  methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing\/business intelligence (DW\/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW\/BI system. You’ll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.   \u003c\/p\u003e\u003cp\u003eWith substantial new and updated content, this second edition of \u003ci\u003eThe Data Warehouse Lifecycle Toolkit\u003c\/i\u003e again sets the standard in data warehousing for the next decade. It shows you how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIdentify and prioritize data ware-house opportunities\u003c\/li\u003e \u003cli\u003eCreate an architecture plan and select products\u003c\/li\u003e \u003cli\u003eDesign a powerful, flexible, dimensional model\u003c\/li\u003e \u003cli\u003eBuild a robust ETL system\u003c\/li\u003e \u003cli\u003eDevelop BI applications to deliver data to business users\u003c\/li\u003e \u003cli\u003eDeploy and sustain a healthy DW\/BI environment\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThe authors are members of the Kimball Group. Each has focused on data warehousing and business intelligence consulting and education for more than 15 years; most have written other books in the Toolkit series. Learn more about the Kimball Group and Kimball University at www.kimballgroup.com.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990203810021,"sku":"NP9780470149775","price":52.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470149775.jpg?v=1761786893","url":"https:\/\/k12savings.com\/es\/products\/the-data-warehouse-lifecycle-toolkit-isbn-9780470149775","provider":"K12savings","version":"1.0","type":"link"}