Module 1: Introduction to Data Warehousing
This module describes data warehouse concepts and architecture consideration.
Lessons
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehouse Solution
Exploring data sources
Exploring an ETL process
Exploring a data warehouse
After completing this module, you will be able to:
Describe the key elements of a data warehousing solution
Describe the key considerations for a data warehousing solution
Module 2: Planning Data Warehouse Infrastructure
This module describes the main hardware considerations for building a data warehouse.
Lessons
Considerations for data warehouse infrastructure.
Planning data warehouse hardware.
Lab : Planning Data Warehouse Infrastructure
Planning data warehouse hardware
After completing this module, you will be able to:
Describe the main hardware considerations for building a data warehouse
Explain how to use reference architectures and data warehouse appliances to create a data warehouse
Module 3: Designing and Implementing a Data Warehouse
This module describes how you go about designing and implementing a schema for a data warehouse.
Lessons
Data warehouse design overview
Designing dimension tables
Designing fact tables
Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse Schema
Implementing a star schema
Implementing a snowflake schema
Implementing a time dimension table
After completing this module, you will be able to:
Implement a logical design for a data warehouse
Implement a physical design for a data warehouse
Module 4: Columnstore Indexes
This module introduces Columnstore Indexes.
Lessons
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
Lab : Using Columnstore Indexes
Create a Columnstore index on the FactProductInventory table
Create a Columnstore index on the FactInternetSales table
Create a memory optimized Columnstore table
After completing this module, you will be able to:
Create Columnstore indexes
Work with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
This module describes Azure SQL Data Warehouses and how to implement them.
Lessons
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
Lab : Implementing an Azure SQL Data Warehouse
Create an Azure SQL data warehouse database
Migrate to an Azure SQL Data warehouse database
Copy data with the Azure data factory
After completing this module, you will be able to:
Describe the advantages of Azure SQL Data Warehouse
Implement an Azure SQL Data Warehouse
Describe the considerations for developing an Azure SQL Data Warehouse
Plan for migrating to Azure SQL Data Warehouse
Module 6: Creating an ETL Solution
At the end of this module you will be able to implement data flow in a SSIS package.
Lessons
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
Lab : Implementing Data Flow in an SSIS Package
Exploring source data
Transferring data by using a data row task
Using transformation components in a data row
After completing this module, you will be able to:
Describe ETL with SSIS
Explore Source Data
Implement a Data Flow
Module 7: Implementing Control Flow in an SSIS Package
This module describes implementing control flow in an SSIS package.
Lessons
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing consistency.
Lab : Implementing Control Flow in an SSIS Package
Using tasks and precedence in a control flow
Using variables and parameters
Using containers
Lab : Using Transactions and Checkpoints
Using transactions
Using checkpoints
After completing this module, you will be able to:
Describe control flow
Create dynamic packages
Use containers
Module 8: Debugging and Troubleshooting SSIS Packages
This module describes how to debug and trou
