Harness the power of SQL Server, Microsofts high-performance database and data analysis software package, by accesing everything you need to know inMicrosoft SQL Server 2008 Bible. Learn the best practices, tips, and tricks from this comprehensive tutorial and reference, which includes specific examples and sample code, with nearly every task demonstrated in both a graphical and SQL code method. Understand how to develop SQL Server databases and data connections, how to administer the SQL Server and keep databases performing optimally, and how to navigate all the new features of the 2008 release.

Paul Nielsen, SQL Server MVP, organizes the annual Colorado PASSCamp and serves on the PASS Board of Directors. He's the author of the SQL Server Bible series (Wiley), and presenter of the Total Training SQL Server Development video. Paul's speaking schedule for 2007 includes:?PASS (Summit and chapters), SQL Server Open World (Denmark), SQL Teach (Montreal and Vancouver), and his Smart Database Design Seminar. He offers free screencasts at www.SQLServerBible.com.

Mike White is a data analysis and SQL BI expert. He was the principle BI architect for a major Wall Street analysis firm and was a founding member of a BI consulting firm. Mike is a popular speaker on the BI circuit and a member of the prestigious PASS Speaker's Bureau. He also serves as President of the Boulder Colorado PASS Chapter.

Uttam Parui is currently a Senior Premier Field Engineer at Microsoft. In this role, he delivers Microsoft SQL Server consulting and support for designated strategic customers. He acts as a resource for ongoing SQL planning and deployment, analysis of current issues, migration to new SQL environments. He is also responsible for SQL workshops and training for customer's existing support staff. He has worked with SQL Server more than 10 years.

Foreword.

Introduction.

Part I Laying the Foundation.

Chapter 1: The World of SQL Server.

Chapter 2: Data Architecture.

Chapter 3: Relational Database Design.

Chapter 4: Installing SQL Server 2008.

Chapter 5: Client Connectivity.

Chapter 6: Using Management Studio.

Chapter 7: Scripting with PowerShell.

Part II Manipulating Data with Select.

Chapter 8: Introducing Basic Query Flow.

Chapter 9: Data Types, Expressions, and Scalar Functions.

Chapter 10: Merging Data with Joins and Unions.

Chapter 11: Including Data with Subqueries and CTEs.

Chapter 12: Aggregating Data.

Chapter 13: Windowing and Ranking.

Chapter 14: Projecting Data Through Views.

Chapter 15: Modifying Data.

Chapter 16: Modification Obstacles.

Part III Beyond Relational.

Chapter 17: Traversing Hierarchies.

Chapter 18: Manipulating XML Data.

Chapter 19: Using Integrated Full-Text Search.

Part IV Developing with SQL Server.

Chapter 20: Creating the Physical Database Schema.

Chapter 21: Programming with T-SQL.

Chapter 22: Kill the Cursor!

Chapter 23: T-SQL Error Handling.

Chapter 24: Developing Stored Procedures.

Chapter 25: Building User-Defined Functions.

Chapter 26: Creating DML Triggers.

Chapter 27: DDL Triggers.

Chapter 28: Building Out the Data Abstraction Layer.

Chapter 29: Dynamic SQL and Code Generation.

Part V Data Connectivity.

Chapter 30: Bulk Operations.

Chapter 31: Executing Distributed Queries.

Chapter 32: Programming with ADO.NET 3.5.

Chapter 33: Sync Framework.

Chapter 34: LINQ.

Chapter 35: Asynchronous Messaging with Service Broker.

Chapter 36: Replicating Data.

Chapter 37: Performing ETL with Integration Services.

Chapter 38: Access as a Front End to SQL Server.

Part VI Enterprise Data Management.

Chapter 39: Configuring SQL Server.

Chapter 40: Policy-Based Management.

Chapter 41: Recovery Planning.

Chapter 42: Maintaining the Database.

Chapter 43: Automating Database Maintenance with SQL Server Agent.

Chapter 44: Transferring Databases.

Chapter 45: Database Snapshots.

Chapter 46: Log Shipping.

Chapter 47: Database Mirroring.

Chapter 48: Clustering.

Part VII Security.

Chapter 49: Authenticating Principals.

Chapter 50: Authorizing Securables.

Chapter 51: Data Cryptography.

Chapter 52: Row-Level Security.

Part VIII Monitoring and Auditing.

Chapter 53: Data Audit Triggers.

Chapter 54: Schema Audit Triggers.

Chapter 55: Performance Monitor.

Chapter 56: Tracing and Profiling.

Chapter 57: Wait States.

Chapter 58: Extended Events.

Chapter 59: Change Tracking.

Chapter 60: Change Data Capture.

Chapter 61: SQL Audit.

Chapter 62: Management Data Warehouse.

Part IX Performance Tuning and Optimization.

Chapter 63: Interpreting Query Execution Plans.

Chapter 64: Indexing Strategies.

Chapter 65: Query Plan Reuse.

Chapter 66: Managing Transactions, Locking, and Blocking.

Chapter 67: Data Compression.

Chapter 68: Partitioning.

Chapter 69: Resource Governor.

Part X Business Intelligence.

Chapter 70: BI Design.

Chapter 71: Building Multidimensional Cubes with Analysis Services.

Chapter 72: Programming MDX Queries.

Chapter 73: Authoring Reports with Reporting Services.

Chapter 74: Administering Reporting Services.

Chapter 75: Analyzing Data with Excel.

Chapter 76: Data Mining with Analysis Services.

Appendix A: SQL Server 2008 Specifications.

Appendix B: Using the Sample Databases.

Index.