SQL Server Integration Services (SSIS) Training

Target Audience

BI developers working with data integration and ETL processes
Data engineers building SQL Server–based data pipelines
ETL developers responsible for moving and transforming data
Database developers expanding into data integration workflows
Reporting and analytics professionals supporting BI solutions
Application support engineers handling data movement jobs
Professionals transitioning from SQL querying to ETL development
Teams implementing or maintaining SSIS-based data integration solutions

Highlights

Learn ETL concepts and SSIS architecture for enterprise data integration
Instructor-led training with hands-on assignments and guided practice
Build end-to-end SSIS packages using control flow and data flow
Work with multiple data sources and destinations (SQL Server, Excel, flat files)
Apply transformations for data cleansing, validation, and enrichment
Implement variables, parameters, and expressions for dynamic packages
Configure error handling, logging, and monitoring for reliability
Deploy, schedule, and manage SSIS packages for production use

Overview

SQL Server Integration Services (SSIS) Training is an intermediate-level, hands-on course designed to help professionals build reliable data integration and ETL (Extract, Transform, Load) solutions using Microsoft SSIS. The course focuses on moving, transforming, and loading data across systems to support reporting, analytics, and enterprise data workflows.

Learners begin by understanding the role of SSIS within the SQL Server ecosystem and how ETL processes support business intelligence and data engineering initiatives. The training then covers core SSIS concepts such as control flow, data flow, connection managers, variables, parameters, and package execution.

As the course progresses, learners work with common data sources and destinations, apply transformations to cleanse and shape data, and implement error handling and logging for robust ETL pipelines. The course also introduces scheduling, deployment, and performance considerations to ensure packages run reliably in production environments.

By the end of the course, learners will be able to design, build, deploy, and maintain SSIS packages that support enterprise data integration needs—making this course ideal for BI developers, data engineers, and professionals working with SQL Server–based data platforms.

Prerequisite

To successfully complete SQL Server Integration Services (SSIS) Training, learners should have:

Basic understanding of relational databases and tables
Prior experience writing SQL queries using SQL Server
Familiarity with SELECT statements, joins, and basic aggregations
Experience using SQL Server Management Studio (SSMS)
Completion of SQL Server Training for Beginners (or equivalent experience) is recommended

Outcomes

By the end of this course, you will be able to:

Understand the role of SSIS in enterprise data integration and ETL workflows
Design and build SSIS packages to extract, transform, and load data
Work with multiple data sources and destinations effectively
Implement control flow logic using tasks, precedence constraints, and loops
Apply data flow transformations to cleanse, validate, and shape data
Use variables, parameters, and expressions to create dynamic SSIS packages
Implement error handling and logging for reliable ETL execution
Deploy, configure, and manage SSIS packages in production environments

Job Roles

This course prepares learners for data integration and ETL-focused roles that work with SQL Server and enterprise data pipelines. After completing the training, learners will be better prepared for positions such as:

BI Developer (ETL / Data Integration)
Data Engineer (SQL Server / SSIS)
ETL Developer
Data Integration Specialist
Reporting or BI Support Analyst
Database Developer (ETL-Focused)
Application Support Engineer (Data Pipelines)
Analytics Engineer

Curriculum

Module 1: Introduction to SQL Server Integration Services (SSIS)

Overview of ETL (Extract, Transform, Load) concepts
Understanding SSIS architecture and core 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 tasks and data flow transformations

Module 3: Working with Data Sources and Destinations

Connecting to SQL Server, Excel, flat files, and other sources
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)
Using precedence constraints to manage task dependencies
Implementing loops with For Loop and Foreach Loop containers

Module 5: Data Flow Transformations

Applying Lookup, Merge, Conditional Split, and Aggregate transformations
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 dynamic execution
Using expressions to enhance package flexibility

Module 7: Error Handling and Logging

Implementing error redirection in data flows
Using event handlers for package-level error management
Configuring logging for monitoring and troubleshooting

Module 8: SSIS Package Deployment and Configuration

Understanding project and package deployment models
Deploying packages to SQL Server and SSIS Catalog
Managing environments, configurations, and versioning

Module 9: Advanced SSIS Features

Using Script Task and Script Component for custom logic
Automating package execution using SQL Server Agent
Integrating SSIS with other BI and data workflows

Module 10: Real-World Project and Best Practices

Designing an end-to-end ETL solution
Implementing error handling and logging strategies
Applying best practices for performance, reusability, and maintainability

Demand for This Course

As organizations collect and store data across multiple systems, there is a growing need for reliable tools and skilled professionals who can integrate, transform, and move data efficiently. SQL Server Integration Services (SSIS) remains a widely used ETL platform for building data pipelines that support reporting, analytics, and enterprise data workflows.

SSIS is commonly used in industries such as finance, healthcare, retail, manufacturing, government, and technology to consolidate data from databases, files, and external systems into centralized reporting and analytics platforms. Organizations rely on SSIS to automate data movement, enforce data quality, and ensure timely availability of data for decision-making.

This course addresses the increasing demand for:

BI and data professionals responsible for ETL and data integration
Organizations using SQL Server–based BI and analytics solutions
Teams migrating data between systems or building data warehouses
Professionals supporting reporting, dashboards, and analytics pipelines
Enterprises maintaining or modernizing SSIS-based data workflows
Individuals transitioning from SQL querying to data integration roles

By developing strong SSIS skills, learners gain the ability to design and maintain scalable ETL solutions that improve data reliability and operational efficiency. This course helps organizations maximize the value of their data by ensuring accurate, timely, and well-managed data integration processes.

Frequently Asked Questions (FAQs)

This course is ideal for BI developers, data engineers, ETL developers, database professionals, and analysts who want to build data integration and ETL solutions using SSIS.

This is an Intermediate-level course designed for learners with prior SQL Server and database fundamentals.

The course duration is 32 hours, delivered through instructor-led training with hands-on assignments and guided practice.

Yes. Learners should have experience writing basic SQL queries and understanding relational database concepts. Completion of SQL Server Training for Beginners (or equivalent experience) is recommended.

The course focuses on SQL Server Integration Services (SSIS) using SQL Server Data Tools (SSDT) within Visual Studio.

Yes. You will learn to design, develop, deploy, and manage complete SSIS-based ETL workflows from source to destination.

Yes. The course includes guided demonstrations, hands-on assignments, and real-world business scenarios to reinforce learning.

Yes. The course covers SSIS deployment models, SSIS Catalog, configurations, and scheduling packages using SQL Server Agent.

Yes. Learners who successfully complete the course will receive a Certificate of Completion from Ohio Computer Academy (OCA).

Yes. The course is delivered as Instructor-led live online training. In-class delivery is also available.

Yes. Group training (5 participants) is available at a fixed per-person rate. Individual (1-on-1) and corporate training options are available with customized pricing.

You can register through the Ohio Computer Academy website or contact our team using the Contact Us or Get Quote options on the course page.

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Course Category

Target Audience

Highlights

Overview

Prerequisite

Outcomes

Job Roles

Curriculum

Demand for This Course

Frequently Asked Questions (FAQs)

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