Levi, Ray & Shoup, Inc.
  • Courses
  • Site Content

MS-20767 - Implementing a SQL Data Warehouse

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

Click here to print this page »

Prerequisites


In addition to their professional experience, students who attend this training should already have the following technical knowledge:
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design.

Detailed Class Syllabus


Module 1: Introduction to Data Warehousing


Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure


Considerations for data warehouse infrastructure.
Planning data warehouse hardware.

Module 3: Designing and Implementing a Data Warehouse


Designing dimension tables
Designing fact tables
Physical Design for a Data Warehouse

Module 4: Columnstore Indexes


Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Module 5: 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
Copying data with the Azure data factory

Module 6: Creating an ETL Solution


Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow

Module 7: Implementing Control Flow in an SSIS Package


Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing consistency.

Module 8: Debugging and Troubleshooting SSIS Packages


Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package

Module 9: Implementing a Data Extraction Solution


Introduction to Incremental ETL
Extracting Modified Data
Loading modified data
Temporal Tables

Module 10: Enforcing Data Quality


Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data

Module 11: Using Master Data Services


Introduction to Master Data Services
Implementing a Master Data Services Model
Hierarchies and collections
Creating a Master Data Hub

Module 12: Extending SQL Server Integration Services (SSIS)


Using scripting in SSIS
Using custom components in SSIS

Module 13: Deploying and Configuring SSIS Packages


Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Module 14: Consuming Data in a Data Warehouse


Introduction to Business Intelligence
An Introduction to Data Analysis
Introduction to reporting
Analyzing Data with Azure SQL Data Warehouse