Implementing a SQL Data Warehouse

Overview

This 5-day instructor led course describes how to implement a data warehouse platform to support a BI solution.

Participants will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Who Should Attend

This course is intended for individuals who:

• Are a database professionals who need to fulfil a BI Developer role
• Need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL & data cleansing

Course Objectives

After completing this course, participants will be able to:

• Describe the key elements of a data warehousing solution
• Describe the main hardware considerations for building a data warehouse
• Implement a logical & physical design for a data warehouse
• Create columnstore indexes  Implementing an Azure SQL Data Warehouse
• Describe the key features of SSIS
•  Implement a data flow by using SSIS
• Implement control flow by using tasks and precedence constraints
• Create dynamic packages that include variables and parameters
• Debug SSIS packages
• Describe the considerations for implement an ETL solution
• Implement Data Quality Services
• Implement a Master Data Services model
• Describe how you can use custom components to extend SSIS
• Deploy SSIS projects
• Describe BI and common BI scenarios

Course Prerequisites

Before attending this course, participants must have, at least 2 years’ experience working with relational databases including:

• Designing a normalized database
• Creating tables and relationships
• Querying with Transact-SQL
• Some exposure to basic programming constructs (such as looping and branching)
• An awareness of key business priorities such as revenue, profitability, & financial accounting is desirable