In this module, students learn to work with SQL Server Data Tools (SSDT) to design and deploy reports.

Lessons

• Working with SQL Server Data Tools
• Understanding Solutions and Projects
• Working with the Visual Studio Interface

Lab 1: Working with Solutions and Projects

• Import and run a package in SSDT-BI

After completing this module, students will be able to:

• Work with SQL Server Data Tools.
• Understand solutions and projects.
• Work with the Visual Studio interface.

The Control Flow tab of the SSIS Designer is used to organize the general flow of your package execution. The control flow of a package includes different element types, such as tasks, containers, and precedence constraints. Each of these element types has a set of properties that you will use to define and manage individual instances of these elements. In this module, students learn to add containers or tasks from the SSIS Toolbox to the Control Flow Designer.

Lessons

• Working with Tasks
• Understanding Precedence Constraints
• Annotating Packages
• Grouping Tasks
• Package and Task Properties
• Connection Managers
• Favorite Tasks

Lab 1: Basic Control Flow

• Precedence Constraints and Execute SQL Task

After completing this module, students will be able to:

• Understand the control flow.
• Work with tasks.
• Understand precedence constraints.
• Annotate packages.
• Group tasks.
• Work with package and task properties.
• Work with connection managers.

Microsoft has organized the tasks in the Common section of the SSIS Toolbox alphabetically. This module will touch on the functionality of each of these tasks, and provide Try It exercises for the tasks that are most commonly seen in classes and companies.

Lessons

• Analysis Services Processing
• Data Profiling Task
• Execute Package Task
• Execute Process Task
• Expression Task
• File System Task
• FTP Task
• Hadoop Task
• Script Task Introduction
• Send Mail Task
• Web Service Task
• XML Task

Lab 1: Common Tasks

• Create a package to copy a file and send an email message on completion
• Create a package to perform data profiling and then review the results
• Create a master package and test the execution flow of the child packages

After completing this module, students will be able to:

• Work with Analysis Services processing.
• Insert tasks in bulk.
• Use the Data Profiling task.
• Use the Execute Package task.
• Use the Execute Process task.
• Use the Expression task.
• Use the File System task.
• Use the FTP task.
• Use the Hadoop tasks.
• Use the Script task Introduction.
• Use the Send Mail task.
• Use the Web Service task.
• Use the XML task.

In this module, students will learn to work with data flow sources and destinations.

Lessons

• The Data Flow Task
• The Data Flow SSIS Toolbox
• Working with Data Sources
• SSIS Data Sources
• Working with Data Destinations
• SSIS Data Destinations

Lab 1: Data Flow Sources and Destinations

• Working with Data Sources and Destinations

After completing this module, students will be able to:

• Use the Data Flow Task.
• Use the Data Flow SSIS Toolbox.
• Work with Data Sources.
• Work with Data Destinations.
• Understand SSIS Data Destinations.

In this module, students learn about transformations, which allow you to modify data in the data flow pipeline.

Lessons

• Transformations
• Configuring Transformations

Lab 1: Data Flow Transformations

• Working with Derived Column Transformations
• Working with Lookup Transformations

After completing this module, students will be able to:

• Working with Derived Column Transformations
• Working with Lookup Transformations

In this module, students will learn to make SSIS packages dynamic.

Lessons

• Features for Making Packages Dynamic
• Package Parameters
• Project Parameters
• Variables
• SQL Parameters
• Expressions in Tasks
• Expressions in Connection Managers
• After Deployment
• How It All Fits Together

Lab 1: Making Packages Dynamic

• Making a Package Dynamic

After completing this module, students will be able to:

• Understand the features for making packages dynamic.
• Use package parameters.
• Use project parameters.
• Use variables.
• Use sql parameters.
• Use expressions in tasks.
• Use expressions in connection managers.
• Understand how it all fits together.

In this module, students learn to use containers, which provide a way to organize tasks that need to be managed together as a group.

Lessons

• Sequence Containers
• For Loop Containers
• Foreach Loop Containers

Lab 1: Containers

• Use a Foreach Loop container to send a custom email to the names found in a database view

After completing this module, students will be able to:

• Work with containers.
• Sequence containers.
• Use For Loop containers.
• Use Foreach Loop containers.

This module puts together common troubleshooting methods along with some of the reliability features for SSIS all in one place.

Lessons

• Understanding MaximumErrorCount
• Breakpoints
• Redirecting Error Rows
• Logging
• Event Handlers
• Using Checkpoints
• Transactions

Lab 1: Troubleshooting and Package Reliability

• Creating a Script Task to Merge Error Messages
• Configure a package to use transactions

After completing this module, students will be able to:

• Understand MaximumErrorCount.
• Work with breakpoints.
• Redirect Error Rows.
• Use Logging.
• Use Event Handlers.
• Use Checkpoints.
• Use Transactions.

The project deployment model provides the framework for new functionality such as the SSIS catalog, environments, project level parameters and project level connection managers. This module explains how to deploy projects to the SSIS catalog.

Lessons

• The SSIS Catalog
• Deploying Projects
• Working with Environments
• Executing Packages in SSMS
• Executing Packages from the Command Line
• Deployment Model Differences

Lab 1: Deploying to the SSIS Catalog

• Deploying a Project to the SSIS Catalog
• Manually executing a Package

After completing this module, students will be able to:

• Understand SSIS deployment and the SSIS catalog.
• Deploy Projects.
• Work with Environments.
• Execute packages in SSMS.
• Execute packages from the command line.

In this module, students will learn to install, upgrade, and administer SSIS.

Lessons

• Installing SSIS
• Upgrading SSIS
• Managing the SSIS Catalog
• Viewing Built-in SSIS Reports
• Managing SSIS Logging and Operation Histories
• Automating Package Execution

Lab 1: Installing and Administering SSIS

• Automating Package Execution

After completing this module, students will be able to:

• To install SSIS.
• To upgrade SSIS.
• To manage the SSIS catalog.
• To view built-in SSIS reports.
• To manage SSIS logging and operation histories.
• To automate package execution.

In addition to the standard SQL Server database and instance permissions that can be configured like any other database, the SSIS catalog has special pre-defined database roles and additional permissions that can be assigned for the management and execution of SSIS packages. In this module, students learn to work with roles and permissions to secure the SSIS catalog.

Lessons

• Principals
• Securables
• Grantable Permissions
• Granting Permissions
• Configuring Proxy Accounts

Lab 1: Securing the SSIS Catalog

• Securing the SSIS Catalog

After completing this module, students will be able to:

• Understand principals.
• Understand securables.
• Grant Permissions.
• Configure proxy accounts.

A: This course is designed for database professionals, ETL developers, data engineers, and anyone involved in data integration and ETL processes using SQL Server Integration Services. It is suitable for beginners as well as experienced professionals who want to enhance their SSIS skills.

A: Participants should have a basic understanding of relational databases and SQL concepts. Familiarity with Microsoft SQL Server and a working knowledge of SQL Server Management Studio (SSMS) would be beneficial. Prior experience with ETL processes or data integration is helpful but not required.

A: The course covers a wide range of topics, including SSIS architecture, creating and managing SSIS packages, data extraction and transformation, working with control flow tasks, data flow transformations, error handling and debugging, package deployment and execution, and integration with other systems and technologies.

A: The course is typically instructor-led and combines lectures, demonstrations, hands-on lab exercises, and discussions. Participants will have access to course materials and practical exercises to reinforce their learning.

A: While this course does not directly provide a certification, it equips participants with the knowledge and skills necessary to become proficient in SQL Server Integration Services. It serves as a solid foundation for individuals who may want to pursue Microsoft certifications related to SSIS, such as the Microsoft Certified: Data Engineer Associate.

A: Yes, this course is available in both online and traditional classroom formats. Online courses offer flexibility, allowing participants to learn at their own pace and convenience.

A: By completing this course, participants will gain a comprehensive understanding of SQL Server Integration Services and be equipped to design, build, and deploy SSIS packages for data integration and ETL processes. This knowledge is essential for database professionals and ETL developers working with SQL Server databases.

A: While this course focuses on SQL Server Integration Services, many of the concepts and techniques taught are applicable to other ETL tools and platforms. Understanding data integration and ETL principles will be valuable regardless of the specific tool being used.

A: After completing this course, participants can explore more advanced topics related to SQL Server data platform, such as SQL Server Analysis Services (SSAS) or SQL Server Reporting Services (SSRS). Microsoft offers a range of specialized courses and certifications for different SQL Server disciplines.