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Dec 13/2021 - Dec 15/2021


9:00 am - 5:00 pm



SQL Server 2017 Integration Services (SSIS)

Course ID:Custom-MSL-20767C

Duration: 3 Days
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This focused Intertech course will enable technology professionals with little or no ETL experience to be comfortable and productive with the SSIS tools and technologies. In this course students will learn how to use SQL Server Data Tools (SSDT) to create SSIS packages to extract, transform, and load (ETL) data using a variety of data sources, transformations, and destinations. They will also understand SSIS package management and package deployment with the new SSISDB Package Catalog. They will also learn how to write solid code using debugging, error handling, and logging techniques.

*NOTE: Since there were no changes to SSIS between SQL Server 2014 and SQL Server 2016, students working with both versions can attend this course.

Learning Objectives

During this course students will learn:

  • The new SSIS features that were released with SSIS 2014/2016
  • The challenges and solutions to running packages in x86 and x64 environments
  • The problems and solutions encountered when upgrading SSIS 2005/2008 packages to SSIS 2012/2014
  • How to use SSDT to create and debug well-designed packages
  • About Control Flows, how to build them using many of the built-in tasks, including the various containers
  • How to use the Data Flow task to perform primary ETL operations
  • About variables and the new SQL Server 2014 parameters that make packages dynamic and resilient to change in environments
  • About the features in SSDT and Integration Services that help developers troubleshoot packages
  • How to schedule SQL server Agent to run packages automatically
  • How to deploy and manage packages effectively, including the new SSISDB Package Catalog
  • How to write and debug script so that they can go beyond the built-in tasks, data sources, transformations, and destinations
  • Best practices that will make it easier to develop and maintain a package over its entire life cycle
  • About using Integration Services for tasks other than traditional ETL operations


This course assumes no prior knowledge of SQL Server Integration Services. This course does assume some prior knowledge of SQL Server 2014 or newer and the use of SQL Server Management Studio (SSMS) for development and administrative tasks.  Students should be able to create simple CRUD (create, retrieve, update, and delete) queries using T-SQL, understand basic relational databases design, run script files, and diagnose problems that occur. They should also know how to connect to an instance of SQL Server 2014 using the various connection dialog boxes in SSMS and SSDT.


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Course Outline

Module 1: Creating an ETL Solution with SSIS

This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.


  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package

  • Exploring Data Sources
  • Transferring Data by Using a Data Flow Task
  • Using Transformations in a Data Flow

After completing this module, you will be able to:

  • Describe the key features of SSIS.
  • Explore source data for an ETL solution.
  • Implement a data flow by using SSIS

Module 2: Implementing Control Flow in an SSIS Package

This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.


  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

Lab : Implementing Control Flow in an SSIS Package

  • Using Tasks and Precedence in a Control Flow
  • Using Variables and Parameters
  • Using Containers

Lab : Using Transactions and Checkpoints

  • Using Transactions
  • Using Checkpoints

After completing this module, you will be able to:

  • Implement control flow with tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • Use containers in a package control flow
  • Enforce consistency with transactions and checkpoints

Module 3: Debugging and Troubleshooting SSIS Packages

This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.


  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package

Lab : Debugging and Troubleshooting an SSIS Package

  • Debugging an SSIS Package
  • Logging SSIS Package Execution
  • Implementing an Event Handler
  • Handling Errors in a Data Flow

After completing this module, you will be able to:

  • Debug an SSIS package
  • Implement logging for an SSIS package
  • Handle errors in an SSIS package

Module 4: Implementing a Data Extraction Solution

This module describes the techniques you can use to implement an incremental data warehouse refresh process.


  • Planning Data Extraction
  • Extracting Modified Data

Lab : Extracting Modified Data

  • Using a Datetime Column
  • Using Change Data Capture
  • Using the CDC Control Task
  • Using Change Tracking

After completing this module, you will be able to:

  • Plan data extraction
  • Extract modified data

Module 5: Loading Data into a Data Warehouse

This module describes the techniques you can use to implement data warehouse load process.


  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques

Lab : Loading a Data Warehouse

  • Loading Data from CDC Output Tables
  • Using a Lookup Transformation to Insert or Update Dimension Data
  • Implementing a Slowly Changing Dimension
  • Using the MERGE Statement

After completing this module, you will be able to:

  • Describe the considerations for planning data loads
  • Use SQL Server Integration Services (SSIS) to load new and modified data into a data warehouse
  • Use Transact-SQL techniques to load data into a data warehouse

Module 6: Extending SQL Server Integration Services

This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.


  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Lab : Using Custom Scripts

  • Using a Script Task

After completing this module, you will be able to:

  • Include custom scripts in an SSIS package
  • Describe how custom components can be used to extend SSIS

Module 7: Deploying and Configuring SSIS Packages

In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.


  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

  • Creating an SSIS Catalog
  • Deploying an SSIS Project
  • Running an SSIS Package in SQL Server Management Studio
  • Scheduling SSIS Packages with SQL Server Agent

After completing this module, you will be able to:

  • Describe considerations for SSIS deployment.
  • Deploy SSIS projects.
  • Plan SSIS package execution.
  • Describe BI and common BI scenarios
  • Describe how a data warehouse can be used in enterprise BI scenarios
  • Describe how a data warehouse can be used in self-service BI scenarios

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