55321 SQL Server Integration Services
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Struggling to keep up with data quality and loading challenges? Analysts spend up to 80% of their time managing pipelines and cleansing data, leaving just 20% for real insights. The SQL Server Integration Services (SSIS) training course teaches you how to efficiently design and optimize ETL workflows, so your team can focus on delivering impactful business intelligence instead of slogging through manual data prep.
Request More InfoUpcoming Class Schedule
$2,995.00
Jul 27 - Jul 31, 2026
9:00 AM - 5:00 PM America/New_York- VILT
- Sep 28 - Oct 02, 2026
- 9:00 AM - 5:00 PM America/New_York
- VILT
The SQL Server Integration Services (SSIS) training course teaches you how to design, configure, and secure efficient ETL workflows. You’ll build SSIS packages that connect to multiple data sources, transform complex datasets, and load results into SQL Server or other destinations with precision.
You’ll also learn to design control flows, use precedence constraints effectively, optimize package execution, cleanse and validate server data, follow deployment best practices, and maintain a secure SSIS Catalog. By course completion, you’ll have the skills to deliver reliable, high-quality BI solutions that grow with your organization.
Note: 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.
By the end of this SQL Server Integration Services course, you will be able to:
- Create sophisticated SSIS packages for extracting, transformation, and loading data
- Use containers to control repetitive tasks and transactions efficiently
- Configure packages to dynamically adapt to environment changes
- Cleanse data using Data Quality Services for business intelligence accuracy
- Troubleshoot and debug packages for reliable package execution
- Create, manage, and secure the SSIS Catalog
- Deploy, configure, and schedule packages for automated execution
Upcoming Schedules
| Date | Time | Enroll |
|---|---|---|
| Jul 27 - Jul 31, 2026 | 9:00 AM - 5:00 PM America/New_York | Add To Cart |
| Sep 28 - Oct 02, 2026 | 9:00 AM - 5:00 PM America/New_York | Add To Cart |
| Jan 25 - Jan 29, 2027 | 9:00 AM - 5:00 PM America/New_York | Add To Cart |
Who should attend 55321 SQL Server Integration Services Course
This course is ideal for database professionals and BI developers responsible for building SSIS-driven ETL solutions and performing data cleansing. It’s especially suited for those working on data warehouse implementations or managing large-scale data integration projects with Microsoft SQL Server.
Prerequisites for 55321 SQL Server Integration Services Course
55321 SQL Server Integration Services Course Outline
- Import/Export Wizard and Exporting Data
- Common Import Concerns and Quality Checking Data
- SQL Server Data Tools Overview
- Understanding Solutions, Projects, and Visual Studio Interface
- Working with Tasks, Precedence Constraints, and Connection Managers
- Annotating, Grouping, and Managing Package/Task Properties
- Favorite Tasks for Common Scenarios
- Analysis Services Processing and Data Profiling
- Execute Package/Process Tasks and Expression Tasks
- File System, FTP, and Hadoop Tasks
- Script Task Basics, Send Mail, Web Service, and XML Tasks
- Data Flow Task and SSIS Toolbox Overview
- Working with Data Sources and Destinations (Databases, Flat Files, Excel)
- Configuring Transformations to cleanse and shape data
- Parameters (Package, Project, SQL) and Variables
- Using Expressions in Tasks and Connection Managers
- Post-Deployment Dynamic Configurations
- Sequence Containers, For Loops, and Foreach Loops
- Error Handling: Redirecting Rows, Logging, Event Handlers
- Using Breakpoints, Checkpoints, and Transactions
- Managing MaximumErrorCount for Stability
- Understanding the SSIS Catalog and Deployment Models
- Deploying Projects, Managing Environments, and Executing Packages (SSMS, Command Line)
- Installing and Upgrading SSIS
- Managing the Catalog, Built-in Reports, Logging, and Operation Histories
- Automating Package Execution
- Principals, Securables, and Permissions Management
- Granting Permissions and Configuring Proxy Accounts
Resources
FAQs on 55321 SQL Server Integration Services
This course is designed for database professionals and BI developers who build SSIS-driven ETL solutions and perform data cleansing, particularly those involved in data warehouse implementations or large-scale data integration projects using Microsoft SQL Server.
Participants should have basic knowledge of the Windows operating system, a working knowledge of relational databases, and some experience with database design. Familiarity with T-SQL and SQL Server Agent jobs is helpful but not required.
You will learn to build SSIS packages for ETL processes, use containers for repetitive tasks and transactions, configure dynamic packages, cleanse data with Data Quality Services, troubleshoot package execution, manage the SSIS Catalog, and deploy and schedule packages for automation.
The course covers SSIS overview, working with Solutions and Projects in SQL Server Data Tools, control flow basics, common tasks (e.g., file system, FTP, web service), data flow sources/destinations/transformations, and making packages dynamic using parameters and variables.
No, prior experience with SQL Server Agent jobs is not required, though a working knowledge of T-SQL and SQL Server Agent jobs is beneficial for understanding automated package scheduling and execution.