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

Validating data using regular expressions in a Script component

In this recipe, you will create a Script Component that will use the regular expressions in the DataProfiling.xml file to validate the emails of the personal data extracted from a flat file.

Getting ready

This recipe assumes that you successfully completed the Reading data profiling XML results with Script task recipe earlier in this chapter. If you did not complete that recipe, you can prepare an appropriate SSIS package simply by completing step 1 of that recipe.

How to do it...

  1. Make sure that the RegExValidation.dtsx package is active in the control flow designer.
  2. Right-click in the empty canvas of the Connection Managers pane at the bottom of the SSDT window and select New Flat File Connection... from the shortcut menu.
  3. Use the Flat File Connection Manager Editor to create a new connection manager, and on the General page enter PersonData into the Connection manager name textbox.
  4. To determine the File name property, click Browse...