Microsoft Sql Server 2008 Integration Services: Problem-design-solution

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This book shows readers how to solve the most challenging applications of SQL Server Integration Services (SSIS). In particular, readers will learn how to: Design SSIS solutions for data cleansing, ETL, and file management. Integrate data from a variety of data sources. Solve common pitfalls involved with SSISdeployment. Monitor SSIS performance. Ensure performance of the deployed solution, and effectively handle unexpected system failures/outages. The book begins with an overview of SSIS architecture, describing the key frameworks that guide development of effective SSIS solutions: including data storage and extraction (ETL), deployment and management. The next set of chapters proceeds to explore each of these areas in more detail. The next set of chapters focuses on dimension and fact table loading and dimensional cube processing. The final chapters address advanced data handling through scripting and best practices for ensuring the availability and performance of the deployed solutions. In sum, this book gives readers the skills to design, build, deploy, and manage solutions to real-world problems that SSIS administrators and developers face day-to-day. The book's companion website provides sample code and database scripts that readers can directly use.

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Erik Veerman is a SQL Server MVP and Mentor for Solid Quality Mentors focusing on training, mentoring and architecting solutions on the SQL Server BI platform. His industry recognition includes Microsoft's Worldwide BI Solution of the Year and SQL Server Magazine's Innovator Cup. Erik is a co-author of WROX Professional SQL Server 2008/2005 Integration Services, and Expert SQL Server 2005 Integration Services. Jessica M. Moss a Microsoft SQL Server MVP and business intelligence mentor with Solid Quality Mentors, is certified as an MCDBA, MCTS: SQL Server 2005 BI, and an MCITP: SQL Server 2005 BI. Jessica is a regular speaker at user groups, code camps, and conferences. Brian Knight SQL Server MVP, MCSE, MCDBA, is the co-founder of SQLServerCentral.com and JumpstartTV.com. He was recently on the Board of Directors of the Professional Association for SQL Server (PASS). Brian is a contributing columnist for SQL Server Standard and a regular columnist for SQLServerCentral.com. He is the author of Professional SQL Server 2008/2005 Integration Services and Expert SQL Server 2005 Integration Services (Wrox Press). Brian speaks at PASS, SQL Connections, TechEd and Code Camps. His blog can be found at http://www.PragmaticWorks.com. Jay Hackney is a Mentor for Solid Quality Mentors, where he helps customers utilize Microsoft technology to build real-world solutions. He lives and works aboard the family sailboat, and spends his free time exploring the world with his wife and four home-schooled children. Table of Contents Chapter 1: SSIS Solution Architecture Macro Challenge: Enterprise Data Spaghetti Micro Challenge: Data-Processing Confusion Problems with Execution and Troubleshooting Infrastructure Challenges Other Challenges Design Choosing the Right Tool Overall Solution Architecture Data Integration or Consolidation Data Warehouse ETL Project Planning and Team Development Agile Benefits Agile Cautions and Planning Data Element Documentation Package Design Patterns Modular Packages Master Packages Server and Storage Hardware Server Hardware Development and Test Servers ETL Collocation Storage Hardware Package Execution Location Package Storage Location Versus Execution Location Execute SQL Task and Bulk Insert Task Execution Package Execution and the Data Flow Design Review Solution Setting the Stage: Management and Deploymen Source Data: Files, Tables, and Data Cleansing Data Warehouse ETL and Cube Processing Advanced ETL: Scripting, High Availability, and Performance Summary Chapter 2: SSIS Management Framework Design Chapter 3: Package Deployment and Storage Decision Chapter 4: File-Handling and Prozessing Methods Chapter 5: Data Extraction Best Practices Chapter 6: Data-Cleansing Design Chapter 7: Dimension 7able ETL. Chapter 8: Fact Table ETL. Chapter 9: SSAS Processing Architectur Chapter 10: implementing Scale-Out ETL Process Chapter 11: Scripting Design Patterns