Joy Mundy, Warren Thornthwaite, Ralph Kimball

The Microsoft Data Warehouse Toolkit (eBook, PDF)

With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

• Format: PDF

Produktbeschreibung

Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming "Business Intelligence release" of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance. * Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release * Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services * Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book * The accompanying Web site contains all code samples as well as the sample database used throughout the case studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 704
• Erscheinungstermin: 24. Februar 2011
• Englisch
• ISBN-13: 9781118067932
• Artikelnr.: 37485689

Autorenporträt

Joy Mundy is a member of the Kimball Group and has been focusing on data warehousing and business intelligence since the early 1990s. Warren Thornthwaite has been building decision support and data warehousing systems since 1980 and is a member of the Kimball Group. Ralph Kimball, PhD, is known worldwide as an innovator, writer, educator, speaker, and consultant in the field of data warehousing. He is the founder of the Kimball Group (www.kimballgroup.com), which provides data warehouse consulting and education.

Inhaltsangabe

Foreword xxvii Introduction xxix Part 1 Requirements, Realities, and Architecture 1 Chapter 1 Defining Business Requirements 3 The Most Important Determinant of Long-Term Success 5 Adventure Works Cycles Introduction 6 Uncovering Business Value 6 Obtaining Sponsorship 7 Defining Enterprise-Level Business Requirements 8 Prioritizing the Business Requirements 22 Revisiting the Project Planning 25 Gathering Project-Level Requirements 26 Summary 28 Chapter 2 Designing the Business Process Dimensional Model 29 Dimensional Modeling Concepts and Terminology 30 Facts 31 Dimensions 33 Bringing Facts and Dimensions Together 34 The Bus Matrix, Conformed Dimensions, and Drill Across 36 Additional Design Concepts and Techniques 38 Surrogate Keys 38 Slowly Changing Dimensions 39 Dates 42 Degenerate Dimensions 43 Snowflaking 43 Many-to-Many or Multivalued Dimensions 44 Hierarchies 47 Aggregate Dimensions 49 Junk Dimensions 51 The Three Fact Table Types 52 Aggregates 53 The Dimensional Modeling Process 54 Preparation 55 Data Profiling and Research 60 Building Dimensional Models 63 Developing the Detailed Dimensional Model 66 Testing and Refining the Model 68 Reviewing and Validating the Model 68 Case Study: The Adventure Works Cycles Orders Dimensional Model 69 The Orders Fact Table 69 The Dimensions 69 Identifying Dimension Attributes and Facts for the Orders Business Process 72 The Final Draft of the Initial Orders Model 74 Detailed Orders Dimensional Model Development 75 Final Dimensional Model 77 Summary 77 Chapter 3 The Toolset 79 The Microsoft DW/BI Toolset 80 Why Use the Microsoft Toolset? 82 Architecture of a Microsoft DW/BI System 83 Why Analysis Services? 84 Why a Relational Store? 86 ETL Is Not Optional 86 The Role of Master Data Services 88 Delivering BI Applications 88 Overview of the Microsoft Tools 89 Which Products Do You Need? 90 SQL Server Development and Management Tools 92 Summary 97 Chapter 4 System Setup 99 System Sizing Considerations 100 Calculating Data Volumes 101 Determining Usage Complexity 102 Estimating Simultaneous Users 104 Assessing System Availability Requirements 105 How Big Will It Be? 105 System Configuration Considerations 105 Memory 106 Monolithic or Distributed? 106 Storage System Considerations 110 Processors 113 Setting Up for High Availability 114 Software Installation and Configuration 115 Development Environment Software Requirements 116 Test and Production Software Requirements 120 Operating Systems 122 SQL Server Relational Database Setup 122 Analysis Services Setup 126 Integration Services Setup 129 Reporting Services Setup 130 Summary 131 Part 2 Building and Populating the Databases 133 Chapter 5 Creating the Relational Data Warehouse 135 Getting Started 136 Complete the Physical Design 137 Surrogate Keys 138 String Columns 138 To Null, or Not to Null? 140 Housekeeping Columns 140 Table and Column Extended Properties 142 Define Storage and Create Constraints and Supporting Objects 142 Create Files and Filegroups 142 Data Compression 144 Entity and Referential Integrity Constraints 145 Initial Indexing and Database Statistics 147 Aggregate Tables 150 Create Table Views 151 Insert an Unknown Member Row 152 Example CREATE TABLE Statement 152 Partitioned Tables 153 Finishing Up 163 Staging Tables 163 Metadata Setup 163 Summary 164 Chapter 6 Master Data Management 165 Managing Master Reference Data 166 Incomplete Attributes 167 Data Integration 168 Systems Integration 170 Master Data Management Systems and the Data Warehouse 171 Introducing SQL Server Master Data Services 171 Model Definition Features 172 Data Management Features 174 User Interface: Exploring and Managing the Master Data 174 Importing and Updating Data 176 Exporting Data 177 Full Versioning of All Attributes 179 Creating a Simple Application 179 Summary 186 Chapter 7 Designing and Developing the ETL System 187 Round Up the Requirements 188 Develop the ETL Plan 191 Introducing SQL Server Integration Services 192 Control Flow and Data Flow 194 SSIS Package Architecture 197 The Major Subsystems of ETL 198 Extracting Data 199 Subsystem 1: Data Profiling 199 Subsystem 2: Change Data Capture System 200 Subsystem 3: Extract System 202 Cleaning and Conforming Data 206 Subsystem 4: Data Cleaning System 206 Subsystem 5: Error Event Schema 214 Subsystem 6: Audit Dimension Assembler 215 Subsystem 7: Deduplication System 216 Subsystem 8: Conforming System 217 Delivering Data for Presentation 218 Subsystem 9: Slowly Changing Dimension Manager 218 Subsystem 10: Surrogate Key Generator 223 Subsystem 11: Hierarchy Manager 223 Subsystem 12: Special Dimensions Manager 224 Subsystem 13: Fact Table Builders 225 Subsystem 14: Surrogate Key Pipeline 229 Subsystem 15: Multi-Valued Dimension Bridge Table Builder 235 Subsystem 16: Late Arriving Data Handler 235 Subsystem 17: Dimension Manager 238 Subsystem 18: Fact Provider System 238 Subsystem 19: Aggregate Builder 239 Subsystem 20: OLAP Cube Builder 239 Subsystem 21: Data Propagation Manager 240 Managing the ETL Environment 240 Summary 243 Chapter 8 The Core Analysis Services OLAP Database 245 Overview of Analysis Services OLAP 247 Why Use Analysis Services? 247 Why Not Analysis Services? 249 Designing the OLAP Structure 250 Planning 251 Getting Started 253 Create a Project and a Data Source View 255 Dimension Designs 257 Creating and Editing Dimensions 261 Creating and Editing the Cube 274 Physical Design Considerations 291 Understanding Storage Modes 293 Developing the Partitioning Plan 294 Designing Performance Aggregations 296 Planning for Deployment 298 Processing the Full Cube 299 Developing the Incremental Processing Plan 299 Summary 304 Chapter 9 Design Requirements for Real-Time BI 305 Real-Time Triage 306 What Does Real-Time Mean? 306 Who Needs Real Time? 307 Real-Time Tradeoffs 308 Scenarios and Solutions 311 Executing Reports in Real Time 313 Serving Reports from a Cache 313 Creating an ODS with Mirrors and Snapshots 314 Creating an ODS with Replication 314 Building a BizTalk Application 315 Building a Real-Time Relational Partition 315 Querying Real-Time Data in the Relational Database 317 Using Analysis Services to Query Real-Time Data 318 Summary 319 Part 3 Developing the BI Applications 321 Chapter 10 Building BI Applications in Reporting Services 323 A Brief Overview of BI Applications 324 Types of BI Applications 325 The Value of Business Intelligence Applications 326 A High-Level Architecture for Reporting 328 Reviewing Business Requirements for Reporting 328 Examining the Reporting Services Architecture 330 Using Reporting Services as a Standard Reporting Tool 332 Reporting Services Assessment 339 The Reporting System Design and Development Process 340 Reporting System Design 341 Reporting System Development 348 Building and Delivering Reports 351 Planning and Preparation 351 Creating Reports 354 Reporting Operations 368 Ad Hoc Reporting Options 369 The Report Model 370 Shared Datasets 371 Report Parts 371 Summary 372 Chapter 11 PowerPivot and Excel 375 Using Excel for Analysis and Reporting 376 The PowerPivot Architecture: Excel on Steroids 378 Creating and Using PowerPivot Databases 380 Getting Started 381 PowerPivot Table Design 381 Creating Analytics with PowerPivot 385 Observations and Guidelines on PowerPivot for Excel 392 PowerPivot for SharePoint 394 The PowerPivot SharePoint User Experience 394 Server-Level Resources 397 PowerPivot Monitoring and Management 397 PowerPivot's Role in a Managed DW/BI Environment 400 Summary 401 Chapter 12 The BI Portal and SharePoint 403 The BI Portal 404 Planning the BI Portal 405 Impact on Design 406 Business Process Categories 407 Additional Functions 408 Building the BI Portal 409 Using SharePoint as the BI Portal 411 Architecture and Concepts 412 Setting Up SharePoint 417 Summary 426 Chapter 13 Incorporating Data Mining 429 Defining Data Mining 430 Basic Data Mining Terminology 432 Business Uses of Data Mining 433 Roles and Responsibilities 440 SQL Server Data Mining Architecture Overview 440 The Data Mining Design Environment 442 Build, Deploy, and Process 442 Accessing the Mining Models 443 Integration Services and Data Mining 443 Additional Features 444 Architecture Summary 445 Microsoft Data Mining Algorithms 445 Decision Trees 446 Naïve Bayes 447 Clustering 448 Sequence Clustering 448 Time Series 449 Association 449 Neural Network 449 The Data Mining Process 450 The Business Phase 451 The Data Mining Phase 453 The Operations Phase 460 Metadata 462 Data Mining Examples 463 Case Study: Categorizing Cities 463 Case Study: Product Recommendations 472 Summary 488 Part 4 Deploying and Managing the DW/BI System 491 Chapter 14 Designing and Implementing Security 493 Identifying the Security Manager 494 Securing the Hardware and Operating System 495 Securing the Operating System 495 Using Windows Integrated Security 496 Securing the Development Environment 497 Securing the Data 498 Providing Open Access for Internal Users 498 Itemizing Sensitive Data 500 Securing Various Types of Data Access 500 Securing the Components of the DW/BI System 502 Reporting Services Security 502 Analysis Services Security 505 Relational DW Security 514 Integration Services Security 520 Usage Monitoring 521 Summary 521 Chapter 15 Metadata Plan 523 Metadata Basics 524 The Purpose of Metadata 524 Metadata Categories 525 The Metadata Repository 526 Metadata Standards 526 SQL Server 2008 R2 Metadata 527 Cross-Tool Components 528 Relational Engine Metadata 532 Analysis Services 532 Integration Services 533 Reporting Services 533 Master Data Services 534 SharePoint 534 External Metadata Sources 534 Looking to the Future 535 A Practical Metadata Approach 535 Creating the Metadata Strategy 536 Business Metadata Reporting 538   Process Metadata Reporting 541 Technical Metadata Reporting 542 Ongoing Metadata Management 543 Summary 543 Chapter 16 Deployment 545 Setting Up the Environments 546 Testing 550 Development Testing 551 System Testing 555 Data Quality Assurance Testing 557 Performance Testing 559 Usability Testing 562 Testing Summary 563 Deploying to Production 564 Relational Database Deployment 565 Integration Services Package Deployment 567 Analysis Services Database Deployment 568 Reporting Services Report Deployment 571 Master Data Services Deployment 572 Data Warehouse and BI Documentation 573 Core Descriptions 573 Additional Documentation 575 User Training 576 User Support 579 Desktop Readiness and Configuration 580 Summary 581 Chapter 17 Operations and Maintenance 583 Providing User Support 584 Maintaining the BI Portal 585 Extending the BI Applications 586 System Management 587 Governing the DW/BI System 588 Performance Monitoring 593 Usage Monitoring 600 Managing Disk Space 602 Service and Availability Management 603 Performance Tuning the DW/BI System 604 Backup and Recovery 606 Executing the ETL Packages 611 Summary 611 Chapter 18 Present Imperatives and Future Outlook 613 Growing the DW/BI System 613 Lifecycle Review with Common Problems 615 Phase I -
Requirements, Realities, Plans, and Designs 616 Phase II -
Developing the Databases 616 Phase III -
Developing the BI Applications and Portal Environment 617 Phase IV -
Deploying and Managing the DW/BI System 618 Iteration and Growth 618 What We Like in the Microsoft BI Toolset 619 Future Directions: Room for Improvement 620 Conclusion 623 Index 625