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 Data Warehousing For Dummies, 2nd Edition.
Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to:
Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products
Data Warehousing For Dummies, 2nd Edition 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!
By:
Thomas C. Hammergren
Imprint: For Dummies
Country of Publication: United States
Edition: 2nd edition
Dimensions:
Height: 231mm,
Width: 188mm,
Spine: 31mm
Weight: 567g
ISBN: 9780470407479
ISBN 10: 0470407476
Pages: 400
Publication Date: 27 February 2009
Audience:
General/trade
,
ELT Advanced
Format: Paperback
Publisher's Status: Active
Introduction 1 Part I: The Data Warehouse: Home for Your Data Assets 7 Chapter 1: What’s in a Data Warehouse? 9 Chapter 2: What Should You Expect from Your Data Warehouse? 25 Chapter 3: Have It Your Way: The Structure of a Data Warehouse 37 Chapter 4: Data Marts: Your Retail Data Outlet 59 Part II: Data Warehousing Technology 71 Chapter 5: Relational Databases and Data Warehousing 73 Chapter 6: Specialty Databases and Data Warehousing 85 Chapter 7: Stuck in the Middle with You: Data Warehousing Middleware 95 Part III: Business Intelligence and Data Warehousing 113 Chapter 8: An Intelligent Look at Business Intelligence 115 Chapter 9: Simple Database Querying and Reporting 125 Chapter 10: Business Analysis (OLAP) 135 Chapter 11: Data Mining: Hi-Ho, Hi-Ho, It’s Off to Mine We Go 149 Chapter 12: Dashboards and Scorecards 155 Part IV: Data Warehousing Projects: How to Do Them Right 163 Chapter 13: Data Warehousing and Other IT Projects: The Same but Different 165 Chapter 14: Building a Winning Data Warehousing Project Team 179 Chapter 15: You Need What? When? — Capturing Requirements 193 Chapter 16: Analyzing Data Sources 203 Chapter 17: Delivering the Goods 213 Chapter 18: User Testing, Feedback, and Acceptance 225 Part V: Data Warehousing: The Big Picture 231 Chapter 19: The Information Value Chain: Connecting Internal and External Data 233 Chapter 20: Data Warehousing Driving Quality and Integration 247 Chapter 21: The View from the Executive Boardroom 263 Chapter 22: Existing Sort-of Data Warehouses: Upgrade or Replace? 271 Chapter 23: Surviving in the Computer Industry (and Handling Vendors) 281 Chapter 24: Working with Data Warehousing Consultants 291 Part VI: Data Warehousing in the Not-Too-Distant Future 297 Chapter 25: Expanding Your Data Warehouse with Unstructured Data 299 Chapter 26: Agreeing to Disagree about Semantics 305 Chapter 27: Collaborative Business Intelligence 311 Part VII: The Part of Tens 317 Chapter 28: Ten Questions to Consider When You’re Selecting User Tools 319 Chapter 29: Ten Secrets to Managing Your Project Successfully 325 Chapter 30: Ten Sources of Up-to-Date Information about Data Warehousing 331 Chapter 31: Ten Mandatory Skills for a Data Warehousing Consultant 335 Chapter 32: Ten Signs of a Data Warehousing Project in Trouble 339 Chapter 33: Ten Signs of a Successful Data Warehousing Project 343 Chapter 34: Ten Subject Areas to Cover with Product Vendors 347 Index 351
Thomas C. Hammergren has been involved with business intelligence and data warehousing since the 1980s. He has helped such companies as Procter & Gamble, Nike, FirstEnergy, Duke Energy, AT&T, and Equifax build business intelligence and performance management strategies, competencies, and solutions. Alan R. Simon is a data warehousing expert and author of many books on data warehousing.
Reviews for Data Warehousing For Dummies
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