This course runs for a duration of 5 Days.
The class will run daily from 9:00am CST to 5:00pm CST.
Class Location: Knowledge Transfer - Eagan, MN.
About this course
This five-day, instructor-led legacy course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.
Audience profile
The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.
At course completion
After completing this course, students will be able to:
1 - Introduction to Data Warehousing
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
2 - Planning Data Warehouse Infrastructure
Considerations for data warehouse infrastructure.
Planning data warehouse hardware.
3 - Designing and Implementing a Data Warehouse
Data warehouse design overview
Designing dimension tables
Designing fact tables
Physical Design for a Data Warehouse
4 - Columnstore Indexes
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
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
6 - Creating an ETL Solution
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
7 - Implementing Control Flow in an SSIS Package
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing consistency.
8 - Debugging and Troubleshooting SSIS Packages
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
9 - Implementing a Data Extraction Solution
Introduction to Incremental ETL
Extracting Modified Data
Loading modified data
Temporal Tables
10 - Enforcing Data Quality
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
11 - Using Master Data Services
ntroduction to Master Data Services
Implementing a Master Data Services Model
Hierarchies and collections
Creating a Master Data Hub
12 - Extending SQL Server Integration Services (SSIS)
Using scripting in SSIS
Using custom components in SSIS
13 - Deploying and Configuring SSIS Packages
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
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
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
