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

Correcting data with the Script component

In this recipe, you will use the Script Component in the data flow as a transformation for advanced data cleansing. You will read an Excel file and do a custom transformation in order to make the output ready for further processing in the data flow.

Getting ready

In order to test this recipe, you need to have an Excel file prepared. In the file, there should be a single sheet with the following content:


For your convenience, an Excel file with the content needed is provided in the Ch07_Orders.xls file.

Note that the table represents simple orders with order details. However, the order info is added to the first order details line only. Your task is to add the appropriate order info to every single line.

How to do it...

  1. Add a new package to the AdventureWorksETL project. Rename it ProcessingExcel.dtsx.
  2. Add a new package-level Excel connection manager. Rename it Excel_Ch07_Orders. Point to your Excel file path and define your Excel version appropriately...