Description

Book Synopsis
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.

Table of Contents

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

Data Warehousing for Dummies

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A Paperback / softback by Thomas C. Hammergren

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    View other formats and editions of Data Warehousing for Dummies by Thomas C. Hammergren

    Publisher: John Wiley & Sons Inc
    Publication Date: 27/02/2009
    ISBN13: 9780470407479, 978-0470407479
    ISBN10: 0470407476

    Description

    Book Synopsis
    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.

    Table of Contents

    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

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