SQL Server 2017 Integration Services Cookbook

More Information
Learn
  • Understand the key components of an ETL solution using SQL Server 2016-2017 Integration Services
  • Design the architecture of a modern ETL solution
  • Have a good knowledge of the new capabilities and features added to Integration Services
  • Implement ETL solutions using Integration Services for both on-premises and Azure data
  • Improve the performance and scalability of an ETL solution
  • Enhance the ETL solution using a custom framework
  • Be able to work on the ETL solution with many other developers and have common design paradigms or techniques
  • Effectively use scripting to solve complex data issues
About

SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you’ll gain complete hands-on experience of SSIS 2017 as well as the 2016 new features, design and development improvements including SCD, Tuning, and Customizations.

At the start, you’ll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We’ll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse.

Through the course of chapters, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you’ll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. You’ll also be demonstrated many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages.

At the end of this book, you’ll get to know all the key concepts to perform data integration and transformation. You’ll have explored on-premises Big Data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms.

Features
  • Acquaint yourself with all the newly introduced features in SQL Server 2017 Integration Services
  • Program and extend your packages to enhance their functionality
  • This detailed, step-by-step guide covers everything you need to develop efficient data integration and data transformation solutions for your organization
Page Count 558
Course Length 16 hours 44 minutes
ISBN 9781786461827
Date Of Publication 29 Jun 2017

Authors

Christian Cote

Christian Coté has been in IT for more than 12 years. He is an MS-certified technical specialist in business intelligence (MCTS-BI). For about 10 years, he has been a consultant in ETL/BI projects. His ETL projects have used various ETL tools and plain code with various RDBMSes (such as Oracle and SQL Server). He is currently working on his sixth SSIS implementation in 4 years.

Dejan Sarka

Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. Besides projects, he spends about half his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. He is the main author or co author of many books about databases and SQL Server. The last three books before this one were published by Packt, and their titles were SQL Server 2016 Developer's Guide, SQL Server 2017 Integration Services Cookbook, and SQL Server 2016 Developer's Guide. Dejan Sarka has also developed many courses and seminars for Microsoft, SolidQ, and Pluralsight.

Matija Lah

Matija Lah has more than 15 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to the Microsoft Most Valuable Professional award in 2007 (data platform). He spends most of his time on projects involving advanced information management, and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.