To ensure that you have the most beneficial learning experience in the Implementing a SQL 2016 Data Warehouse (SSIS) course, the following are the minimum required prerequisites:

• Basic understanding of relational databases and data warehouse concepts, such as tables, queries, SQL statements, and database schemas.
• Familiarity with the Microsoft Windows operating system and its core functionality.
• Experience with Transact-SQL (T-SQL), including the ability to write basic T-SQL queries for Microsoft SQL Server.
• Basic knowledge of key business priorities such as revenue, profitability, and financial accounting is desirable.
• Exposure to basic programming constructs (like loops and branching) is helpful but not mandatory.

Please note that while these are the minimum requirements, having additional experience in database design, business intelligence, or ETL processes will enhance your learning experience. Our course is designed to accommodate a range of skill levels, and our instructors are adept at helping students bridge gaps in their understanding.

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

The Implementing a SQL 2016 Data Warehouse (SSIS) course is designed for IT professionals responsible for data warehouse implementation and management.

• Database Professionals seeking to learn about data warehousing with SQL Server 2016
• IT Professionals interested in learning SQL Server Integration Services (SSIS)
• Business Intelligence (BI) Developers who need to create and maintain a data warehouse
• Data Analysts interested in transforming, cleansing, and loading data
• ETL Developers who need to develop SSIS packages for data extraction, transformation, and loading
• Database Administrators looking to maintain and oversee data warehouses
• Data Architects responsible for designing and implementing data warehouses and BI solutions
• Professionals aiming to improve data quality and enforce data consistency in their organization
• Data Engineers who plan to implement big data solutions with Azure SQL Data Warehouse
• IT Project Managers overseeing data warehousing projects
• Technical Consultants providing data warehousing solutions to clients
• Report Developers who need to consume data from data warehouses for reporting purposes
• System Integrators working on integrating various data sources into a cohesive data warehouse
• IT Decision Makers evaluating data warehousing strategies and tools for their organizations

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

Introduction to the Course's Learning Outcomes and Concepts Covered:

This course offers comprehensive training in implementing a SQL 2016 Data Warehouse with SSIS, covering data warehousing concepts, ETL processes, data quality, and BI solutions.

Learning Objectives and Outcomes:

• Understand the key components and considerations of a data warehousing solution, including infrastructure and hardware planning.
• Design and implement a robust data warehouse using SQL Server 2016, focusing on dimension and fact table design.
• Gain proficiency in managing and creating Columnstore indexes to optimize data warehouse storage and query performance.
• Learn to implement and develop an Azure SQL Data Warehouse, including data migration and integration with Azure Data Factory.
• Develop ETL solutions with SSIS (SQL Server Integration Services), emphasizing data flow and transformation techniques.
• Master control flow in SSIS packages, dynamic package creation, and the use of containers to manage consistency and transactionality.
• Acquire skills in debugging, troubleshooting, and error handling within SSIS packages to ensure reliable ETL processes.
• Implement data extraction solutions, understand incremental ETL, and work with temporal tables for handling data changes over time.
• Enforce data quality using Data Quality Services (DQS) and Master Data Services (MDS) for data cleansing, matching, and deduplication.
• Extend SSIS capabilities with custom scripts and components, and learn to deploy and configure SSIS packages for optimal data warehouse consumption.