Mastering ETL and Data Integration with SQL Server Integration Services (SSIS)

This hands-on course teaches how to design, build, and automate data workflows using SQL Server Integration Services (SSIS). Learn to extract, transform, and load (ETL) data from multiple sources, handle errors, and deploy packages efficiently. By the end, you’ll be able to create and manage end-to-end data integration solutions for real-world business needs.

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Mode of Training

Online – Virtual (Live, Instructor Led, Real-Time Learning with Q&A and Discussions)

Certification

After the completion of the course and the exam, you will be awarded with a course completion certificate.

Duration

32 Hours: Flexible Scheduling with 16 Hours of Live Instructor-Led Training and 16 Hours of Self-Practice.

This course is ideal for:

Data engineers and developers who want to master ETL and data integration using SSIS.
Database administrators and SQL professionals seeking to automate data workflows and improve performance.
Business intelligence (BI) specialists looking to build and manage data pipelines for reporting and analytics.
Data analysts and reporting professionals who need to understand backend data processing.
IT professionals and system integrators responsible for managing enterprise data movement and transformations.
Students and job seekers aspiring to start careers in data engineering, BI, or database management.

Highlights

Enhance your data integration skills with hands-on SSIS training focused on real-world ETL development.

Comprehensive ETL Training: Learn to design, build, and automate data workflows using SQL Server Integration Services (SSIS).
Hands-On Learning: Work directly in SSIS to extract, transform, and load data from multiple sources.
Data Flow Mastery: Apply transformations like Lookup, Merge, and Conditional Split for efficient data processing.
Workflow Automation: Configure control flow tasks and loops to manage complex data pipelines.
Error Handling & Logging: Implement robust error management and logging strategies for reliable operations.
Dynamic & Reusable Packages: Use variables, parameters, and expressions to create flexible and maintainable ETL solutions.
Deployment Skills: Learn to deploy, schedule, and manage SSIS packages in production environments.
Career-Focused Learning: Build practical ETL and data integration expertise essential for roles in data engineering, BI, and analytics.

Outcomes

By the end of this course, participants will be equipped with: 

Proficiency in SSIS Fundamentals: Understanding ETL concepts, SSIS architecture, and package structure.
Hands-On Data Integration Skills: Ability to extract, transform, and load (ETL) data from multiple sources into SQL Server and other destinations.
Workflow Automation Expertise: Confidence in building control flows, managing dependencies, and automating repetitive data processes.
Data Transformation Mastery: Experience using transformations such as Lookup, Merge, Conditional Split, and Aggregate to clean and prepare data.
Dynamic Package Design: Skill in using variables, parameters, and expressions to create flexible, reusable, and scalable SSIS solutions.
Error Handling & Troubleshooting: Ability to configure logging, handle data errors, and manage event handlers for process reliability.
Deployment & Maintenance Knowledge: Understanding how to deploy, schedule, and manage SSIS packages in enterprise environments.
Integration & Automation Proficiency: Capability to integrate SSIS with SQL Server Agent, other BI tools, and external data systems.
Real-World Project Experience: Practical experience designing end-to-end ETL pipelines for business data integration scenarios.
Career Readiness: Preparedness for roles such as ETL Developer, Data Engineer, BI Developer, or SQL Server Integration Specialist.

Course Content

The Mastering ETL and Data Integration with SQL Server Integration Services (SSIS) course is designed to help learners build practical, hands-on expertise in data extraction, transformation, and loading (ETL) processes. This comprehensive training covers SSIS architecture, package design, data flow, control flow, variables, parameters, and automation. Participants will work with real-world datasets to create, manage, and deploy SSIS packages while learning best practices for error handling, performance tuning, and workflow optimization. By the end of the course, learners will be able to design efficient, scalable, and reliable data integration solutions for enterprise environments.

Gain a clear understanding of ETL (Extract, Transform, Load) concepts and how they are implemented in SQL Server Integration Services (SSIS).

Learn to create, configure, and execute SSIS packages for efficient data integration and automation.

Understand SSIS architecture, including control flow, data flow, and package components.

Develop the ability to connect to various data sources and destinations, including SQL Server, Excel, and flat files.

Apply data transformations such as Lookup, Merge, Conditional Split, and Aggregate for effective data processing.

Use variables, parameters, and expressions to build dynamic and reusable SSIS packages.

Implement error handling, logging, and event handlers to ensure reliable and auditable workflows.

Learn to deploy, schedule, and manage SSIS packages using SQL Server Agent and SSIS Catalog.

Work on a real-world ETL project to design and automate complete data pipelines.

Build job-ready skills for careers in ETL development, data engineering, and business intelligence.

• Basic SQL Knowledge: Familiarity with SQL queries, tables, and databases is recommended to understand data flow and transformations.
• Optional Experience with SQL Server: Prior exposure to SQL Server or SQL Server Management Studio (SSMS) can make learning smoother but is not mandatory.
• Analytical Mindset: An interest in data organization, automation, and problem-solving will enhance learning.
• No Prior SSIS Experience Required: The course starts from the fundamentals and gradually progresses to advanced ETL and automation concepts.

This training will equip you for the following job roles and career paths: 

ETL Developer

Data Engineer

Business Intelligence (BI) Developer

SQL Server Developer

Data Integration Specialist

Database Administrator (with ETL focus)

Data Migration Engineer

Reporting and Analytics Developer

Data Warehouse Developer

Systems Integration Specialist

Module 1: Introduction to SQL Server Integration Services (SSIS)
• Overview of ETL (Extract, Transform, Load) concepts
• Understanding SSIS architecture and components
• Exploring SSIS packages, control flow, and data flow

Module 2: Getting Started with SSIS Development
• Setting up the SSIS development environment
• Creating and executing your first SSIS package
• Understanding the role of tasks and data flow transformations

Module 3: Working with Data Sources and Destinations
• Connecting to various data sources (SQL Server, Excel, Flat Files, etc.)
• Loading data into target systems
• Using Data Conversion and Derived Column transformations

Module 4: Control Flow and Workflow Management
• Configuring control flow tasks (Execute SQL, File System, Script tasks)
• Using precedence constraints to define task dependencies
• Looping through data with For Loop and Foreach Loop containers

Module 5: Data Flow Transformations
• Applying transformations such as Lookup, Merge, Conditional Split, and Aggregate
• Handling NULL values, data cleansing, and validation
• Sorting and merging data from multiple inputs

Module 6: Variables, Parameters, and Expressions
• Creating and using variables within SSIS packages
• Parameterizing packages for flexibility
• Using expressions to make packages dynamic

Module 7: Error Handling and Logging
• Implementing error redirection in data flow
• Using event handlers for package-level error management
• Configuring logging for monitoring and troubleshooting

Module 8: SSIS Package Deployment and Configuration
• Understanding SSIS deployment models (Project and Package Deployment)
• Deploying packages to SQL Server and SSIS Catalog
• Managing environments, configurations, and version control

Module 9: Advanced SSIS Features
• Using Script Task and Script Component for custom logic
• Automating SSIS package execution using SQL Agent
• Integrating SSIS with other BI tools and workflows

Module 10: Real-World Project and Best Practices
• Designing a complete ETL solution from source to destination
• Implementing error handling and logging strategy
• Best practices for performance tuning, reusability, and maintainability

Demand for MS SQL Server Skills

As organizations continue to rely on data-driven decision-making, professionals skilled in ETL (Extract, Transform, Load) and data integration are in high demand. SQL Server Integration Services (SSIS) remains one of the most widely used tools for automating data workflows, migrating data between systems, and supporting business intelligence platforms. Companies across industries—finance, healthcare, retail, and technology—depend on SSIS professionals to ensure data accuracy, consistency, and efficiency. Mastering SSIS not only strengthens your technical foundation in data engineering and BI but also opens opportunities for high-paying roles in enterprise data management and analytics.

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FAQs

1. Who should take this course?

This course is designed for data professionals, developers, and IT specialists who want to learn how to build, automate, and manage ETL processes using SQL Server Integration Services (SSIS). It’s ideal for those working in data integration, business intelligence, or data engineering.

2. Do I need prior experience with SSIS?

No prior SSIS experience is required. However, a basic understanding of SQL and relational databases will help you grasp concepts more quickly.

3. How long is the course and what is the format?

The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led sessions and 16 hours of hands-on practice using SQL Server Data Tools (SSDT) and SQL Server Management Studio (SSMS).

4. Will I receive a certification upon completion of the course?

Yes, participants will receive a Certificate of Completion from Ohio Computer Academy, validating their skills in ETL design and data integration using SSIS.

5. What resources will be provided during the course?

Participants will receive access to detailed course materials, SSIS project files, datasets for practice, guided exercises, and best-practice checklists for ETL development.

6. Is there a hands-on component to the training?

Yes, this course is fully hands-on. Learners will design and execute SSIS packages, handle errors, and deploy real-world ETL projects.

7. What software do I need for this course?

You’ll use Microsoft SQL Server, SQL Server Data Tools (SSDT), and SQL Server Management Studio (SSMS)—all available as free downloads from Microsoft.

8. Can I take this course online?

Yes, the course is available in both live online and in-class formats. You can choose the option that best fits your schedule and learning style.

9. How do I register for the course?

To enroll, please email us at enroll@ohiocomputeracademy.com.

10. Are there group discounts available?

Yes, group and corporate discounts are available. Please contact enroll@ohiocomputeracademy.com for customized pricing options for teams or organizations.

11. What career opportunities will this training prepare me for?

Graduates will be prepared for roles such as ETL Developer, Data Engineer, BI Developer, Data Integration Specialist, and Data Warehouse Developer, all of which are in high demand across data-driven industries.