SSIS How to Create an ETL Package
For content related to previous versions of SQL Server, see SSIS Tutorial: Creating a Simple ETL Package.
In this tutorial, you learn how to use SSIS Designer to create a simple Microsoft SQL Server Integration Services package. The package that you create takes data from a flat file, reformats the data, and then inserts the reformatted data into a fact table. In following lessons, the package is expanded to demonstrate looping, package configurations, logging, and error flow.
When you install the sample data that the tutorial uses, you also install the completed versions of the packages that you create in each lesson of the tutorial. By using the completed packages, you can skip ahead and begin the tutorial at a later lesson if you like. If this tutorial is your first time working with packages or the new development environment, we recommend that you begin with Lesson1.
What is SQL Server Integration Services (SSIS)?
Microsoft SQL Server Integration Services (SSIS) is a platform for building high-performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing. SSIS includes graphical tools and wizards for building and debugging packages; tasks for performing workflow functions such as FTP operations, executing SQL statements, and sending e-mail messages; data sources and destinations for extracting and loading data; transformations for cleaning, aggregating, merging, and copying data; a management service, the Integration Services service for administering package execution and storage; and application programming interfaces (APIs) for programming the Integration Services object model.
What You Learn
The best way to become acquainted with the new tools, controls, and features available in Microsoft SQL Server Integration Services is to use them. This tutorial walks you through SSIS Designer to create a simple ETL package that includes looping, configurations, error flow logic, and logging.
This tutorial is intended for users familiar with fundamental database operations, but who have limited exposure to the new features available in SQL Server Integration Services.
Recently the sample files required to run this tutorial were no longer available online at their previous location. We apologize for the inconvenience. We have made the files available at a new location, and we have updated the download links in this article.
To use this tutorial, your system must have the following components installed:
SQL Server with the AdventureWorksDW2012 database. To download the AdventureWorksDW2012 database, download
AdventureWorksDW2012.bakfrom AdventureWorks sample databases and restore the backup.
Sample data. The sample data is included with the SSIS lesson packages. To download the sample data and the lesson packages as a Zip file, see SQL Server Integration Services Tutorial - Create a Simple ETL Package.
Lessons in This Tutorial
Lesson 1: Create a Project and Basic Package with SSIS
In this lesson, you create a simple ETL package that extracts data from a single flat file, transforms the data using lookup transformations and finally loads the result into a fact table destination.
Lesson 2: Adding Looping with SSIS
In this lesson, you expand the package you created in Lesson 1 to take advantage of new looping features to extract multiple flat files into a single data flow process.
Lesson 3: Add Logging with SSIS
In this lesson, you expand the package you created in Lesson 2 to take advantage of new logging features.
Lesson 4: Add Error Flow Redirection with SSIS
In this lesson, you expand the package you created in lesson 3 to take advantage of new error output configurations.
Lesson 5: Add SSIS Package Configurations for the Package Deployment Model
In this lesson, you expand the package you created in Lesson 4 to take advantage of new package configuration options.
Lesson 6: Using Parameters with the Project Deployment Model in SSIS
In this lesson, you expand the package you created in Lesson 5 to take advantage of using new parameters with the project deployment model.