Course 55321AC: SQL Server Integration Services
About this Course:
- SQL Server Integration Services is the equivalent of the retired MOC Course 20767CC – Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation.
Course Goals/Skills:
- Create sophisticated SSIS packages for extracting, transforming, and loading data
- Use containers to efficiently control repetitive tasks and transactions
- Configure packages to dynamically adapt to environment changes
- Use Data Quality Services to cleanse data
- Successfully troubleshoot packages
- Create and Manage the SSIS Catalog
- Deploy, configure, and schedule packages
- Secure the SSIS Catalog
Course Format:
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|---|---|
Присъствен (Classroom) Курс в Учебната ни зала или В Офис на Клиент | Онлайн (Online/Virtual) Курс във виртуална зала с инструктор |
Course Language Option:
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Български (Bulgarian) | Английски (English) |
You can choose the language in which the training will be conducted – Bulgarian or English. All our instructors are fluent in English.
Student Guides:
The training materials are available in electronic format. They can be used online / offline on any device. Lifetime access.
Lab Environment:
Each student has their own lab environment where the exercises take place, part of the course. You do not need to install software on a computer or special hardware requirements.
Participants in a face-to-face format in our Training Center have an individual computer during the training.
At Course Completion:
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|---|---|
Lifetime Access - Video Archive 24/7 | Certificate of Course Completion |
Lifetime access to a video archive with recording of each individual lecture.
Official internationally recognized certificate for completed training course.
Course Duration:
- 5 working days (09:00 – 17:00)
or
40 h training (theory and practice) in overtime with a duration of 4 weeks
Saturday and Sunday 10:00 – 14:00, 14:00 – 18:00, 18:00 – 22:00
Monday and Wednesday 19:00 – 23:00
Tuesday and Thursday 19:00 – 23:00
Payments:
An application for an invoice is accepted at the time of enrollment in the respective course.
An invoice is issued within 7 days of confirming the payment.
Next Class:
For more information, use the contact form.
We will contact you to confirm the dates.
Course Content:
Module 1: SSIS Overview
This module explains the purpose of SSIS and teaches how to use the Import/Export Wizard to exchange data between data structures.
Lessons
- Import/Export Wizard
- Exporting Data with the Wizard
- Common Import Concerns
- Quality Checking Imported/Exported Data
Lab 1: SSIS Overview
- Use the Import/Export Wizard from SSMS
After completing this module, students will be able to:
- Export data with the wizard.
- Import data with the wizared.
- Do a quality check on imported and exported data.
Module 2: Working with Solutions and Projects
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.
Module 3: Basic Control Flow
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.
Module 4: Common Tasks
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.
Module 5: Data Flow Sources and Destinations
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.
Module 6: Data Flow Transformations
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
Module 7: Making Packages Dynamic
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.
Module 8: Containers
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.
Module 9: Troubleshooting and Package Reliability
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.
Module 10: Deploying to the SSIS Catalog
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.
Module 11: Installing and Administering SSIS
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.
Module 12: Securing the SSIS Catalog
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.
Instructors
FAQs
Module 1: SSIS Overview
This module explains the purpose of SSIS and teaches how to use the Import/Export Wizard to exchange data between data structures.
Lessons
Import/Export Wizard
Exporting Data with the Wizard
Common Import Concerns
Quality Checking Imported/Exported Data
Lab 1: SSIS Overview
Use the Import/Export Wizard from SSMS
After completing this module, students will be able to:
Export data with the wizard.
Import data with the wizared.
Do a quality check on imported and exported data.
Module 2: Working with Solutions and Projects
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.
Module 3: Basic Control Flow
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.
Module 4: Common Tasks
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.
Module 5: Data Flow Sources and Destinations
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.
Module 6: Data Flow Transformations
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
Module 7: Making Packages Dynamic
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.
Module 8: Containers
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.
Module 9: Troubleshooting and Package Reliability
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.
Module 10: Deploying to the SSIS Catalog
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.
Module 11: Installing and Administering SSIS
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.
Module 12: Securing the SSIS Catalog
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.
Requirements
- Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required.
- Basic knowledge of the Microsoft Windows operating system and its core functionality.
- Working knowledge of relational databases.
- Some experience with database design.
Features
- This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server.
- This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation.
Target audiences
- The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.
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