Implementing a SQL 2016 Data Warehouse (SSIS) Course Overview

Implementing a SQL 2016 Data Warehouse (SSIS) Course Overview

Enhance your data management skills with our course on Implementing a SQL 2016 Data Warehouse (SSIS). This training focuses on essential concepts such as data warehousing, ETL processes, and how to leverage Microsoft SQL Server SSIS for effective data extraction and transformation.

Students will explore topics like designing fact and dimension tables, implementing columnstore indexes, and utilizing Azure SQL Data Warehouse. Practical labs ensure hands-on experience, allowing learners to deploy and configure SSIS packages efficiently.

By the end of this course, you will be equipped to build robust data warehouse solutions, ensuring high data quality and seamless integration, making you a valuable asset in any data-driven organization.

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Successfully delivered 139 sessions for over 210 professionals

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Course Prerequisites

Prerequisites for the Implementing a SQL 2016 Data Warehouse (SSIS) Course (Course Code: 20767)


To successfully undertake the Implementing a SQL 2016 Data Warehouse (SSIS) course, it is recommended that students have the following minimum knowledge and skills:


  • Basic understanding of database concepts and structures.
  • Familiarity with SQL and relational database management systems (RDBMS).
  • Basic knowledge of Microsoft Windows operating system.
  • Prior experience with Microsoft SQL Server or another database management tool is beneficial but not required.

This foundational knowledge will help students grasp the concepts presented in the course and engage more effectively with the hands-on labs and practical applications.


Target Audience for Implementing a SQL 2016 Data Warehouse (SSIS)

Implementing a SQL 2016 Data Warehouse (SSIS) equips professionals with essential skills for effectively designing and managing data warehouses, focusing on SQL Server and Azure solutions.


  • Data Engineers
  • Business Intelligence Developers
  • Database Administrators
  • ETL Developers
  • Data Analysts
  • Solutions Architects
  • Data Warehouse Architects
  • System Analysts
  • IT Professionals seeking SQL Server expertise
  • Azure Developers
  • Project Managers in IT
  • Consultants specializing in data solutions
  • Technical Support Engineers
  • Graduate students in IT or Data Science
  • Business Analysts looking to enhance data skills


Learning Objectives - What you will Learn in this Implementing a SQL 2016 Data Warehouse (SSIS)?

Course Overview

The Implementing a SQL 2016 Data Warehouse (SSIS) course equips participants with the essential skills and knowledge to design, implement, and manage data warehouse solutions using SQL Server Integration Services (SSIS) and Azure SQL Data Warehouse.

Learning Objectives and Outcomes

  • Understand the fundamental concepts of data warehousing and its architecture.
  • Plan and design a robust data warehousing infrastructure.
  • Design and implement dimension and fact tables for effective data modeling.
  • Utilize columnstore indexes to enhance query performance.
  • Implement an Azure SQL Data Warehouse and migrate existing databases to it.
  • Create ETL solutions using SSIS to extract, transform, and load data.
  • Manage control flow within SSIS packages, including transactions and checkpoints.
  • Debug and troubleshoot SSIS packages effectively.
  • Enforce data quality using Data Quality Services and Master Data Services.
  • Deploy and configure SSIS packages for production environments.
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