{"product_id":"data-warehousing-for-dummies-isbn-9780470407479","title":"Data Warehousing For Dummies","description":"Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with \u003ci\u003eData Warehousing For Dummies, 2nd Edition.\u003c\/i\u003e  \u003cp\u003eData is probably your company’s most important asset, so your data warehouse should serve \u003ci\u003eyour\u003c\/i\u003e needs. The fully updated Second Edition of \u003ci\u003eData Warehousing For Dummies\u003c\/i\u003e helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eAnalyze top-down and bottom-up data warehouse designs\u003c\/li\u003e \u003cli\u003eUnderstand the structure and technologies of data warehouses, operational data stores, and data marts\u003c\/li\u003e \u003cli\u003eChoose your project team and apply best development practices to your data warehousing projects\u003c\/li\u003e \u003cli\u003eImplement a data warehouse, step by step, and involve end-users in the process\u003c\/li\u003e \u003cli\u003eReview and upgrade existing data storage to make it serve your needs\u003c\/li\u003e \u003cli\u003eComprehend OLAP, column-wise databases, hardware assisted databases, and middleware\u003c\/li\u003e \u003cli\u003eUse data mining intelligently and find what you need\u003c\/li\u003e \u003cli\u003eMake informed choices about consultants and data warehousing products\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eData Warehousing For Dummies, 2nd Edition\u003c\/i\u003e also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: The Data Warehouse: Home for Your Data Assets 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: What’s in a Data Warehouse? 9\u003c\/p\u003e \u003cp\u003eChapter 2: What Should You Expect from Your Data Warehouse? 25\u003c\/p\u003e \u003cp\u003eChapter 3: Have It Your Way: The Structure of a Data Warehouse 37\u003c\/p\u003e \u003cp\u003eChapter 4: Data Marts: Your Retail Data Outlet 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Data Warehousing Technology 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 5: Relational Databases and Data Warehousing 73\u003c\/p\u003e \u003cp\u003eChapter 6: Specialty Databases and Data Warehousing 85\u003c\/p\u003e \u003cp\u003eChapter 7: Stuck in the Middle with You: Data Warehousing Middleware 95\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Business Intelligence and Data Warehousing 113\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 8: An Intelligent Look at Business Intelligence 115\u003c\/p\u003e \u003cp\u003eChapter 9: Simple Database Querying and Reporting 125\u003c\/p\u003e \u003cp\u003eChapter 10: Business Analysis (OLAP) 135\u003c\/p\u003e \u003cp\u003eChapter 11: Data Mining: Hi-Ho, Hi-Ho, It’s Off to Mine We Go 149\u003c\/p\u003e \u003cp\u003eChapter 12: Dashboards and Scorecards 155\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: Data Warehousing Projects: How to Do Them Right 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 13: Data Warehousing and Other IT Projects: The Same but Different 165\u003c\/p\u003e \u003cp\u003eChapter 14: Building a Winning Data Warehousing Project Team 179\u003c\/p\u003e \u003cp\u003eChapter 15: You Need What? When? — Capturing Requirements 193\u003c\/p\u003e \u003cp\u003eChapter 16: Analyzing Data Sources 203\u003c\/p\u003e \u003cp\u003eChapter 17: Delivering the Goods 213\u003c\/p\u003e \u003cp\u003eChapter 18: User Testing, Feedback, and Acceptance 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V: Data Warehousing: The Big Picture 231\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 19: The Information Value Chain: Connecting Internal and External Data 233\u003c\/p\u003e \u003cp\u003eChapter 20: Data Warehousing Driving Quality and Integration 247\u003c\/p\u003e \u003cp\u003eChapter 21: The View from the Executive Boardroom 263\u003c\/p\u003e \u003cp\u003eChapter 22: Existing Sort-of Data Warehouses: Upgrade or Replace? 271\u003c\/p\u003e \u003cp\u003eChapter 23: Surviving in the Computer Industry (and Handling Vendors) 281\u003c\/p\u003e \u003cp\u003eChapter 24: Working with Data Warehousing Consultants 291\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VI: Data Warehousing in the Not-Too-Distant Future 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 25: Expanding Your Data Warehouse with Unstructured Data 299\u003c\/p\u003e \u003cp\u003eChapter 26: Agreeing to Disagree about Semantics 305\u003c\/p\u003e \u003cp\u003eChapter 27: Collaborative Business Intelligence 311\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VII: The Part of Tens 317\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 28: Ten Questions to Consider When You’re Selecting User Tools 319\u003c\/p\u003e \u003cp\u003eChapter 29: Ten Secrets to Managing Your Project Successfully 325\u003c\/p\u003e \u003cp\u003eChapter 30: Ten Sources of Up-to-Date Information about Data Warehousing 331\u003c\/p\u003e \u003cp\u003eChapter 31: Ten Mandatory Skills for a Data Warehousing Consultant 335\u003c\/p\u003e \u003cp\u003eChapter 32: Ten Signs of a Data Warehousing Project in Trouble 339\u003c\/p\u003e \u003cp\u003eChapter 33: Ten Signs of a Successful Data Warehousing Project 343\u003c\/p\u003e \u003cp\u003eChapter 34: Ten Subject Areas to Cover with Product Vendors 347\u003c\/p\u003e \u003cp\u003eIndex 351\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eThomas C. Hammergren\u003c\/b\u003e has been involved with business intelligence and data warehousing since the 1980s. He has helped such companies as Procter \u0026amp; Gamble, Nike, FirstEnergy, Duke Energy, AT\u0026amp;T, and Equifax build business intelligence and performance management strategies, competencies, and solutions. \u003cb\u003eAlan R. Simon\u003c\/b\u003e is a data warehousing expert and author of many books on data warehousing.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eLearn to:\u003c\/i\u003e\u003c\/b\u003e  \u003c\/p\u003e\u003cul\u003e \u003cli\u003eAnalyze top-down and bottom-up data warehouse designs\u003c\/li\u003e \u003cli\u003eUnderstand the structure and technologies of data warehouses, operational data stores, and data marts\u003c\/li\u003e \u003cli\u003eImplement a data warehouse, step by step\u003c\/li\u003e \u003cli\u003eInvolve end-users in the process\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eThere's more to data warehousing than you think, so start right here!\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eYou don't need a forklift to work with a data warehouse, but you do need a hefty load of know-how to make wise decisions when setting one up. Data is probably your company's most important asset, so your data warehouse should serve your needs. Here's how to understand, develop, implement, and use data warehouses, plus a sneak peek into their future. \u003c\/p\u003e\u003cul\u003e \u003cli\u003e\n\u003cb\u003eKnow your stuff\u003c\/b\u003e — understand what a data warehouse is, what should be housed there, and what data assets are\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eGet a handle on technology\u003c\/b\u003e — learn about column-wise databases, hardware assisted databases, middleware, and master data management\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eThe intelligent view\u003c\/b\u003e — see how business intelligence and data warehousing work together\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eAsk the right questions\u003c\/b\u003e — explore data mining and learn to find what you need\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eDo the groundwork\u003c\/b\u003e — choose your project team and apply best development practices to your data warehousing projects\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eKeep the user in mind\u003c\/b\u003e — involve your users in defining business needs through testing, and learn how to get valuable feedback\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eFix or replace?\u003c\/b\u003e — learn how to review and upgrade existing data storage to make it serve your needs\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eBuyer beware\u003c\/b\u003e — be prepared when dealing with data warehousing product vendors\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eOpen the book and find:\u003c\/b\u003e \u003c\/p\u003e\u003cul\u003e \u003cli\u003eWhat to expect from your data warehouse\u003c\/li\u003e \u003cli\u003eThe difference between data warehouses and data marts\u003c\/li\u003e \u003cli\u003eAll about specialty database technologies\u003c\/li\u003e \u003cli\u003eWhat to look for in a consultant\u003c\/li\u003e \u003cli\u003eHow your data warehouse feeds dashboards and scorecards\u003c\/li\u003e \u003cli\u003eSecrets for managing a successful data warehouse project\u003c\/li\u003e \u003cli\u003eHow to effectively capture business needs and requirements\u003c\/li\u003e \u003cli\u003eTen signs your project is in trouble\u003c\/li\u003e \u003c\/ul\u003e","brand":"For Dummies","offers":[{"title":"Default Title","offer_id":47989026783461,"sku":"NP9780470407479","price":39.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470407479.jpg?v=1761782495","url":"https:\/\/k12savings.com\/es\/products\/data-warehousing-for-dummies-isbn-9780470407479","provider":"K12savings","version":"1.0","type":"link"}