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

Error column name

This recipe will show you a new neat feature of SSIS, which is the error column name. We could achieve something similar before SSIS 2016 but it involves using a script component and it is difficult to reuse this kind of transform. Although we can copy and paste a script component from one package to another, every time we do so, we must change the input columns and recompile the script. It's not very difficult but it's a tedious task. The error column name native implementation in SSIS 2016 is very welcome.

Getting ready

This recipe assumes that you have created the CustomLogging project and package from previous recipe.

How to do it...

  1. In the CustomLogging.dstx package, navigate to the dft_dbo_CustomLogging by double-clicking on the Data Flow task. Click on the path (blue arrow) between the ole_src_SELECT_1and the ole_dst_dbo_CustomLogging transform to select it. Right-click on it and select Delete to delete it.

  1. Drag and drop a derived column transform from the SSIS Toolbox...