Book Image

SQL Server 2017 Integration Services Cookbook

By : Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier
Book Image

SQL Server 2017 Integration Services Cookbook

By: Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier

Overview of this book

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.
Table of Contents (18 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Executing a package using scale out functionality

Finally, we're able to do the real work: creating a simple package and execute it in scale out mode.

Getting ready

You will need SQL Server 2017, SSIS 2017, SSDT, and SSMS 2017 to complete this recipe. It is also assumed that you have configured SSIS in the previous recipe.

How to do it...

  1. Open SSDT and create a new SSIS project named SSISCookBookScaleOut, as shown in the following screenshot. Click on OK to create it:

  1. In the Solution Explorer, right-click on the Package.dtsx that is created with the project and select Delete, as shown in this screenshot:

  1. Right-click on the project and select Properties from the contextual menu. As shown in the following screenshot, change the ProtectionLevel property of the project to Do not save sensitive data and click on OK in both windows. You'll get a warning telling you that you'll have to do the same for all packages in the project. We don't have any, so we simply get rid of the warning dialog. Sensitive...