Microsoft SQL Server 2008 Bible 1st Edition by Paul Nielsen, Uttam Parui, Mike White 9780470257043 0470257040

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ISBN 10: 0470257040
ISBN 13: 9780470257043 
Author: Paul Nielsen, Uttam Parui, Mike White

Harness the power of SQL Server, Microsoft’s high-performance database and data analysis software package, by accesing everything you need to know in Microsoft 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.

Microsoft SQL Server 2008 Bible 1st Table of contents:

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

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Paul Nielsen,Uttam Parui,Mike White,Microsoft