55321AC - SQL Server Integration Services Course Overview

55321AC - SQL Server Integration Services Course Overview

The 55321AC - SQL Server Integration Services (SSIS) course is designed to provide learners with comprehensive knowledge and practical skills to utilize SSIS for data integration, transformation, and migration tasks. This course lays the foundation for gaining SQL Server Integration Services certification by taking a deep dive into the capabilities of SSIS, starting with the basics suitable for SSIS for beginners and progressing through to more advanced topics.

Participants will learn to perform data imports/exports, understand and work with control flow tasks, manage data flow with sources and destinations, apply transformations, and make packages dynamic using parameters and expressions. Additionally, the course covers advanced topics such as troubleshooting, package reliability, deploying to the SSIS catalog, and administering SSIS solutions.

By the end of the course, learners will be well-versed in securing the SSIS Catalog and will have hands-on experience through extensive lab exercises, setting them on the path to effectively implementing and managing SSIS solutions in their work environments.

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  • Live Online Training (Duration : 40 Hours)
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  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure a successful learning experience in the 55321AC - SQL Server Integration Services course, the following are the minimum required prerequisites:


  • Basic understanding of relational databases and familiarity with database design concepts.
  • Fundamental knowledge of Microsoft SQL Server and its core components.
  • Experience with writing T-SQL queries, including SELECT, INSERT, UPDATE, and DELETE statements.
  • Familiarity with Microsoft Windows operating systems and their core functionality.
  • Basic knowledge of Excel and other Microsoft Office applications.
  • An understanding of the concepts of data flow and ETL (Extract, Transform, Load) processes is helpful but not mandatory.

These prerequisites are designed to provide a solid foundation for the course material and ensure that all participants can fully engage with the course content. If you meet these minimum requirements, you are well-positioned to benefit from the training provided in the 55321AC - SQL Server Integration Services course.


Target Audience for 55321AC - SQL Server Integration Services

The 55321AC - SQL Server Integration Services (SSIS) course is designed for professionals looking to master data integration and ETL processes.


  • Database Administrators
  • Data Integration Developers
  • Business Intelligence (BI) Professionals
  • Data Analysts
  • ETL Developers
  • Data Engineers
  • SQL Server Developers
  • IT Professionals who work with SQL Server
  • System Integrators
  • Technical Consultants
  • Data Architects
  • Data Warehouse Professionals
  • Technical Team Leads managing data-related projects


Learning Objectives - What you will Learn in this 55321AC - SQL Server Integration Services?

Introduction to Learning Outcomes

In the 55321AC - SQL Server Integration Services course, you'll master SSIS tools, package creation, deployment, and administration to enhance data integration and workflow solutions.

Learning Objectives and Outcomes

  • Utilize the Import/Export Wizard to efficiently transfer data and address common import concerns while quality checking the data.
  • Navigate and manage SQL Server Data Tools, Solutions, and Projects within the Visual Studio Interface.
  • Construct SSIS packages using tasks, precedence constraints, and understand the importance of annotating and grouping tasks for clarity.
  • Perform common tasks within SSIS, such as executing packages, processing Analysis Services, and handling files, emails, and web services.
  • Configure and implement data flow tasks, sources, and destinations to manage data extraction, transformation, and loading (ETL) processes.
  • Apply transformations in data flow to cleanse, aggregate, and manipulate data during ETL operations.
  • Dynamize packages through the use of variables, parameters, and expressions to create flexible and reusable ETL processes.
  • Organize tasks using containers like sequence, for loop, and foreach loop to manage complex workflows within SSIS packages.
  • Troubleshoot SSIS packages, ensuring reliability through error handling, logging, event handlers, and implementing transactions and checkpoints.
  • Deploy, execute, and manage SSIS packages and projects within the SSIS Catalog, including the use of environments and command-line executions.