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SSIS

Master data integration and ETL processes using SQL Server Integration Services (SSIS) and build real-world workflows for modern data environments.

  • Learn ETL concepts and SSIS architecture through structured skill sprints

  • Build and execute real-world SSIS packages step-by-step

  • Connect, transform, and load data from multiple business data sources

  • Automate workflows using Control Flow, Data Flow, and scheduling tools

  • Develop deployment-ready SSIS solutions for enterprise data integration

Target Audience

  • Beginners seeking a structured introduction to ETL and data integration using SSIS

  • Students and job seekers preparing for data analyst, ETL developer, or BI roles

  • Professionals looking to build strong data integration and workflow automation skills

  • Career changers transitioning into data engineering, ETL, or BI fields

  • Anyone interested in learning how to build and manage end-to-end ETL solutions

SQL Server Integration Services (SSIS) Overview

SQL Server Integration Services (SSIS) is a Microsoft platform used to build ETL (Extract, Transform, Load) workflows and automate enterprise data integration processes across databases, files, and business systems. This course provides practical hands-on training in SSIS package development, workflow automation, data transformations, deployment, and error handling through structured skill sprints and guided projects.

  • Build practical ETL and data integration skills using SSIS

  • Learn package development, workflow automation, and data transformations

  • Work with Control Flow, Data Flow, variables, expressions, and logging

  • Apply SSIS concepts through hands-on exercises and guided projects

  • Develop deployment-ready integration workflows for business scenarios

Delivered using OCA’s Skill Sprint™ Method with hands-on practice, real-world exercises, and instructor-led feedback.

Prerequisites

The following basic skills are recommended to maximize learning outcomes:

  • Comfort using a computer, file navigation, browser usage, and basic typing

  • Basic knowledge of Microsoft Excel or SQL Server concepts is helpful but not mandatory

  • Interest in data integration, ETL processes, and problem-solving

  • Willingness to learn SSIS concepts and complete hands-on exercises

Outcomes

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

  • Understand ETL concepts and build SSIS-based data integration workflows

  • Create, execute, and manage SSIS packages using Control Flow and Data Flow

  • Connect to multiple data sources such as SQL Server, Excel, and flat files

  • Apply data transformations including Lookup, Merge, Conditional Split, and Aggregate

  • Build dynamic SSIS packages using variables, parameters, and expressions

  • Implement error handling, logging, and package deployment strategies

  • Automate workflows using precedence constraints and task configurations

  • Build foundational skills for data engineering, ETL, and BI roles

Job Roles & Careers

After completing the program, learners will be better prepared for positions such as:

  • ETL Developer

  • SSIS Developer

  • Data Integration Developer

  • Data Analyst (ETL / Data Processing)

  • Business Intelligence (BI) Developer

  • Database Developer

  • Data Engineer

Curriculum

Learn through focused Skill Sprints built around practical application and real-world tasks.

  • Explain ETL (Extract, Transform, Load) concepts and workflows

  • Describe SSIS architecture and its core components

  • Differentiate Control Flow and Data Flow

  • Identify SSIS packages and execution flow

  • Set up SSIS development environment

  • Create and execute SSIS packages

  • Use Control Flow and Data Flow components

  • Understand basic tasks and transformations

  • Connect to SQL Server, Excel, and flat files

  • Configure source and destination components

  • Apply data conversion and derived column transformations

  • Load data into destination systems

  • Use Execute SQL Task, File System Task, and Script Task

  • Configure precedence constraints

  • Implement looping using For Loop and Foreach Loop containers

  • Design workflow dependencies

  • Use Lookup, Merge, Conditional Split, and Aggregate transformations

  • Handle NULL values and perform data cleansing

  • Merge and sort data from multiple inputs

  • Apply conditional logic in data pipelines

  • Create and manage SSIS variables

  • Parameterize packages for dynamic execution

  • Use expressions to control package behavior

  • Handle dynamic file paths and connection

  • Redirect errors within data flows

  • Use event handlers for package-level control

  • Configure logging mechanisms

  • Monitor and troubleshoot package execution

  • Understand project and package deployment models

  • Deploy packages to SSIS Catalog

  • Configure environments and variables

  • Apply versioning and configuration strategies

  • Use Script Task and Script Component

  • Automate execution using SQL Server Agent

  • Integrate SSIS with broader BI workflows

  • Implement custom logic within packages

  • Design full ETL architecture

  • Apply logging and error handling strategies

  • Optimize SSIS packages for performance

  • Apply best practices for scalability and maintainability

Design, develop, and deploy a complete ETL workflow using SSIS to integrate multiple business data sources, apply transformations, automate execution, and deliver clean structured data for reporting and analytics.

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$850   

  • Instructor-Led: Live Online & In-Class

  • 32 Total Hours

  • Intermediate Level

  • Real-World Projects

  • Career-Focused

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Why This Course Is in Demand

Organizations across industries rely on ETL and data integration solutions to support reporting, analytics, and business operations. SQL Server Integration Services (SSIS) remains a widely used enterprise platform for automating data movement, transformation, and workflow management across multiple systems. This course helps learners build practical ETL and SSIS development skills used in modern data engineering, reporting, and business intelligence environments.

Frequently Asked Questions (FAQs)

This course is ideal for beginners exploring data integration and ETL for the first time, students and job seekers preparing for data and BI roles, and working professionals looking to build SSIS and data pipeline development skills. It is suitable for individuals from both technical and non-technical backgrounds seeking structured, hands-on learning.

No prior programming experience is required. The course starts with ETL fundamentals and SSIS basics and gradually progresses to advanced transformations and workflow automation. Basic computer skills and familiarity with databases or SQL are helpful but not mandatory.

Participants learn ETL concepts, SSIS architecture, Control Flow and Data Flow, data transformations, workflow automation, error handling, logging, and deployment. The program also covers real-world data integration scenarios and concludes with an end-to-end ETL project.

This course supports roles such as ETL Developer, SSIS Developer, Data Integration Developer, Data Analyst (ETL-focused), BI Developer, and Junior Data Engineer. It also serves as a pathway toward advanced Data Engineering and Data Warehousing roles.

Yes. The program is designed for working professionals looking to upskill in data integration and ETL development. The structured Skill Sprint Method™ ensures efficient learning with guided instruction and practical exercises.

The total duration is 32 hours, consisting of 16 hours of instructor-led live sessions and 16 hours of guided hands-on practice and assignments. This balanced structure ensures both conceptual clarity and practical application.

Yes. This is an instructor-led course delivered in both live online and in-class formats. Participants engage in real-time instruction, demonstrations, and guided exercises.

The course covers SQL Server Integration Services (SSIS), SQL Server Management Studio (SSMS), SSIS Catalog, and integration with data sources such as SQL Server, Excel, and flat files.

Yes. Participants who successfully complete the course and capstone project will receive a Certificate of Completion from OCA.

Yes. Corporate and group training options are available and can be customized to align with organizational learning objectives and industry use cases.

Registration can be completed through the course page on the OCA website or by contacting the admissions team for enrollment assistance and schedule details.

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