This SQL Server 2022 Integration Services (SSIS) training is designed to help participants design, develop, and manage enterprise-grade ETL and data integration solutions using Microsoft SSIS. The course covers SSIS architecture, package development, data flow design, transformations, error handling, deployment, scheduling, and performance optimization. Participants will gain hands-on experience to build scalable, reliable, and maintainable data integration pipelines using SSIS 2022.

• Understand the architecture, data integration capabilities, and ETL features of SQL Server Integration Services in Microsoft SQL Server  for enterprise data processing.
• Set up and configure the SSIS environment, project components, data sources, and deployment settings for ETL development  workflows.
• Design packages, control flows, data flows, transformations, and workflow automation using SSIS development approaches.
• Implement data extraction, transformation, loading, scheduling, and enterprise data integration workflows effectively.
• Debug, test, and optimize packages, transformations, and execution performance for scalability and maintainability.
• Build scalable, automated, and production-ready ETL and data integration solutions using SSIS best practices.

 • BI and ETL developers
 • Data engineers and integration specialists
 • Data warehouse developers
 • SQL Server professionals
 • IT professionals responsible for data integration workflows

 • Basic understanding of SQL Server and relational databases
 • Familiarity with T-SQL is helpful
 • Knowledge of data warehousing concepts is beneficial

 • Understanding SSIS 2022 architecture and components
 • Designing and building SSIS packages
 • Implementing data flows and transformations
 • Handling errors and logging
 • Deploying and managing SSIS projects
 • Scheduling and automating SSIS jobs
 • Tuning SSIS performance
 • Applying SSIS development best practices

By the end of this training, participants will be able to design, deploy, and manage robust SSIS 2022 ETL solutions with confidence. Learners will gain strong fundamentals in package development, automation, and performance tuning, enabling them to support enterprise data integration and warehousing environments.

Introduction to SSIS 2022 & ETL Architecture
 • What is SSIS and where it is used
 • SSIS architecture and components
 • SSIS catalog and project deployment model
 • SQL Server Data Tools environment overview

Control Flow Fundamentals
 • Tasks and containers
 • Precedence constraints
 • Variables and expressions
 • Basic workflow design

Data Flow Fundamentals
 • Data sources and destinations
 • Data flow architecture
 • Common transformations
 • Basic data cleansing

Advanced Data Flow & Transformations
 • Lookup, Merge, and Conditional Split
 • Derived Column and Script Component basics
 • Slowly Changing Dimension
 • Handling complex transformations

Error Handling & Logging
 • Configuring error outputs
 • Event handlers
 • Logging frameworks
 • Designing fault-tolerant packages

Parameters, Configurations & Deployment
 • Project and package parameters
 • Environment variables
 • Deploying to SSIS Catalog
 • Managing configurations

Scheduling & Automation
 • Scheduling SSIS with SQL Server Agent
 • Job monitoring and alerts
 • Restartability and checkpoints
 • Managing ETL operations

Performance Tuning & Optimization
 • Data flow buffer tuning
 • Parallelism and threading
 • Managing memory usage
 • Performance troubleshooting

Security & Access Control
 • Securing SSIS packages
 • Managing roles and permissions
 • Protecting sensitive data
 • Auditing and compliance basics

SSIS Integration with Modern Data Platforms
 • Integrating with Azure and cloud sources
 • Hybrid ETL scenarios
 • Connecting to APIs and flat files
 • Modernizing SSIS workloads

SSIS Project Workshop & Best Practices
 • Building a complete SSIS ETL solution
 • Applying error handling and performance tuning
 • End-to-end ETL testing
 • Final project review and best practices

• SQL Server Integration Services Setup & ETL Architecture
• Project Configuration, Data Sources & Package Management
• Control Flow, Data Flow & Transformation Development
• Workflow Automation, Deployment & Data Integration
• Testing, Debugging & Performance Optimization
• End-to-End SSIS ETL Development Project

Participants will be evaluated through hands-on SSIS labs, practical ETL package development exercises, instructor-led reviews, and a final project-based assessment focused on building and optimizing a complete SSIS data integration solution.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for SQL Server 2022 Integration Services (SSIS). This digital, verifiable certification validates practical SSIS ETL development, enterprise data integration, and SQL Server data platform skills and can be shared on LinkedIn and included in professional profiles to enhance data engineering and BI career credibility.