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

Splitting a dataset into a training and test set

In this recipe, you will split the data into training and test sets using the SSIS percentage sampling transformation. You will use 70 percent of the data for the training set and 3 percent for the test set.

Getting ready

There are no special prerequisites for this recipe, except, of course, SSIS 2016 installed, and the AdventureWorksDW2014 database available in your SQL Server instance.

How to do it...

Open SQL Server Data Tools (SSDT) and create a new project using the integration services project template. Place the solution in the C:\SSIS2016Cookbook folder and name the project Chapter08:

  1. Rename the default package to SplitData.dtsx.
  2. In the Control Flow tab in the Package Designer, add a new data flow task by dragging and dropping it from the SSIS toolbox.
  3. Right-click the task and select Rename from the pop-up menu. Change the task's name to SplitData.
  4. Click the Data Flow tab.
  5. Create a new OLE DB source. Name it AW_DW_Source.
  6. Double-click the AW_DW_Source...