Sql Server Integration Services
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SQL Server Integration Services
Author: Bill Hamilton
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2007-03-29
SQL Server 2005 Integration Services (SSIS) lets you build high-performance data integration solutions. SSIS solutions wrap sophisticated workflows around tasks that extract, transform, and load (ETL) data from and to a wide variety of data sources. This Short Cut begins with an overview of key SSIS concepts, capabilities, standard workflow and ETL elements, the development environment, execution, deployment, and migration from Data Transformation Services (DTS). Next, you'll see how to apply the concepts you've learned through hands-on examples of common integration scenarios. Once you've finished this Short Cut, you'll have the background and understanding you need to start building your own SSIS integration solutions.
SQL Server Integration Services Design Patterns
SQL Server Integration Services Design Patterns is newly-revised for SQL Server 2014, and is a book of recipes for SQL Server Integration Services (SSIS). Design patterns in the book help to solve common problems encountered when developing data integration solutions. The patterns and solution examples in the book increase your efficiency as an SSIS developer, because you do not have to design and code from scratch with each new problem you face. The book's team of expert authors take you through numerous design patterns that you'll soon be using every day, providing the thought process and technical details needed to support their solutions. SQL Server Integration Services Design Patterns goes beyond the surface of the immediate problems to be solved, delving 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, the book 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, Business Intelligence Markup Language, and Dependency Services. Takes you through solutions to common data integration challenges Provides examples involving Business Intelligence Markup Language Teaches SSIS using practical examples
SQL Server Integration Services Essentials
"SQL Server Integration Services Essentials" "SQL Server Integration Services Essentials" is a definitive guide for anyone looking to master the art of data integration and ETL (Extract, Transform, Load) using Microsoft’s powerful SSIS platform. This comprehensive book leads readers through foundational SSIS concepts, advanced architectural insight, and best practices for designing, executing, and managing enterprise-level data movement solutions. Whether you are architecting from scratch or seeking to optimize and modernize existing projects, the detailed treatment of package execution, deployment models, and lifecycle management provides clear pathways to professional-grade SSIS implementation. Exploring both the breadth and depth of SSIS development, the book’s structured approach covers everything from orchestrating complex control and data flows to integrating with a vast array of data sources—relational and NoSQL databases, flat files, cloud platforms, and RESTful APIs. Readers will discover advanced transformation techniques, robust event and error handling, and strategies for designing auditable, high-performance pipelines. Dedicated chapters address version control, CI/CD automation, and DevOps practices, ensuring that SSIS solutions are scalable, maintainable, and secure in dynamic enterprise environments. With in-depth guidance on extensibility, distributed and hybrid deployments, and migration to cloud-native architectures, "SQL Server Integration Services Essentials" empowers both beginners and experienced data engineers to meet evolving organizational requirements. Real-world case studies, future-proofing strategies, and coverage of emerging trends round out this essential resource, making it an indispensable reference for unlocking the full potential of SSIS in modern data engineering and analytics landscapes.