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SQL Server 2012 Integration Services Design Patterns

  • Book
  • © 2012

Overview

  • SQL Server 2012 Integration Services Design Patterns shows how to solve common problems encountered when developing data integration solutions with SQL Server Integration Services (SSIS).

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Table of contents (20 chapters)

About this book

SQL Server 2012 Integration Services Design Patterns is a book of recipes for SQL Server Integration Services (SSIS). Design patterns in the book show how to solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, using design patterns improves your efficiency as an SSIS developer. In SSIS Design Patterns, we take you through several of these snippets in detail, providing the technical details of the resolution.

SQL Server 2012 Integration Services Design Patterns does not focus on the problems to be solved; instead, the book delves into why particular problems should be solved in certain ways. You'll learn more about SSIS as a result, and you'll learn by practical example. Where appropriate, SQL Server 2012 Integration Services Design Patterns provides examples of alternative patterns and discusses when and where they should be used. Highlights of the book include sections on ETL Instrumentation, SSIS Frameworks, and Dependency Services.

  • Takes you through solutions to several common data integration challenges
  • Demonstrates new features in SQL Server 2012 Integration Services
  • Teaches SSIS using practical examples

About the authors

Andy Leonard is an SSIS trainer and consultant, SQL Server database and Integration Services developer, SQL Server data warehouse developer, community mentor, SQL Server "Most Valuable Professional", SQLBlog.com blogger, and engineer. He is co-author of Professional SQL Server 2005 Integration Services and SQL Server MVP Deep Dives. His background includes web application architecture and development, Visual Basic, ASP, SQL Server Integration Services (SSIS), and data warehouse development using SQL Server 2000, 2005 and 2008.

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