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

Configuring a performance monitor data collector set

In this recipe, you are going to prepare a Performance Monitor data collector set using the same settings that you used in the previous recipe. This time the performance monitoring operation is going to run in the background, and you will be able to inspect the performance data after it completes.

How to do it...

  1. Open the Performance Monitor.
  2. In the tree on the left side of the window, navigate to the Performance Monitor node, as described in the previous recipe.
  3. When the graph is visible, right-click the Performance Monitor node, expand the New sub-menu in the shortcut menu, and select Data Collector Set, as shown here:

  1. The Data Collector Set wizard starts. On the first page, enter Chapter06 in the Name text box, and then click Next.
  2. On page two, leave the default value of the Root directory property unchanged, and click Next.
  3. On page three, leave the <Default> value of the Run as property unchanged, and make sure that the Save and close...