Implementing a
SQL Data Warehouse

Discover how to implement a data warehouse platform to support a BI solution. You 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.  For database professionals who need to fulfill a Business Intelligence Developer role, including Data Warehouse implementation, ETL, and data cleansing. 


No prior product knowledge is needed.

Course length: 5 days, Delivery: Online or in-class.

Please call (475) 328-2227 with questions.

Upcoming Classes

Course Overview

1   Introduction to Data Warehousing 

  • Overview of Data Warehousing

  • Considerations for a Data Warehouse Solution

  • Exploring a Data Warehouse Solution 

2   Planning Data Warehouse Infrastructure 

  • Considerations for Building a Data Warehouse

  • Data Warehouse Reference Architectures and Appliances

  • Planning Data Warehouse Infrastructure 

  Designing and Implementing a Data Warehouse 

  • Logical Design for a Data Warehouse

  • Physical Design for a Data Warehouse

  • Implementing a Data Warehouse Schema 

4   Columnstore Indexes 

  • Introduction to Columnstore Indexes

  • Creating Columnstore Indexes

  • Working with Columnstore Indexes

  • Using Columnstore Indexes 


 Implementing an Azure SQL Data Warehouse 

  • Advantages of Azure SQL Data Warehouse

  • Implementing an Azure SQL Data Warehouse

  • Developing an Azure SQL Data Warehouse

  • Migrating to an Azure SQ Data Warehouse

6   Creating an ETL Solution 

  • Introduction to ETL with SSIS

  • Exploring Source Data

  • Implementing Data Flow

  • Implementing Data Flow in an SSIS Package 

7  Implementing Control Flow in an SSIS Package 

  • Introduction to Control Flow

  • Creating Dynamic Packages

  • Using Containers

  • Using Transactions and Checkpoints 

8   Debugging and Troubleshooting SSIS Packages 

  • Debugging an SSIS Package

  • Logging SSIS Package Events

  • Handling Errors in an SSIS Package

  • Debugging and Troubleshooting an SSIS Package 

9   Implementing an Incremental ETL Process 

  • Introduction to Incremental ETL

  • Extracting Modified Data

  • Temporal Tables

  • Extracting Modified Data

  • Loading Incremental Changes 

10 Enforcing Data Quality 

  • Introduction to Data Quality

  • Using Data Quality Services to Cleanse Data

  • Using Data Quality Services to Match Data

  • Cleansing DataLab: De-duplicating Data 

11 Using Master Data Services 

  • Master Data Services Concepts

  • Implementing a Master Data Services Model

  • Managing Master Data

  • Creating a Master Data Hub

  • Implementing Master Data Services 

12 Extending SQL Server Integration Services (SSIS) 

  • Using Custom Components in SSIS

  • Using Scripting in SSIS

  • Using Scripts and Custom Components 

13 Deploying and Configuring SSIS Packages 

  • Overview of SSIS Deployment

  • Deploying SSIS Projects

  • Planning SSIS Package Execution

  • Deploying and Configuring SSIS Packages 

14 Consuming Data in a Data Warehouse 

  • Introduction to Business Intelligence

  • Introduction to Reporting

  • An Introduction to Data Analysis

  • Analyzing Data with Azure SQL Data Warehouse

  • Using Business Intelligence Tools