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

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

This module describes how you go about designing and implementing a schema for a data warehouse.Lessons

• 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

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

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

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

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

This module describes how to debug and troubleshoot SSIS packages.Lessons

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

Lab : Debugging and Troubleshooting an SSIS Package

• Debugging an SSIS package
• Logging SSIS package execution
• Implementing an event handler
• Handling errors in data flow

This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.Lessons

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

Lab : Extracting Modified Data

• Using a datetime column to incrementally extract data
• Using change data capture
• Using the CDC control task
• Using change tracking

Lab : Loading a data warehouse

• Loading data from CDC output tables
• Using a lookup transformation to insert or update dimension data
• Implementing a slowly changing dimension
• Using the merge statement

This module describes how to implement data cleansing by using Microsoft Data Quality services.Lessons

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

Lab : Cleansing Data

• Creating a DQS knowledge base
• Using a DQS project to cleanse data
• Using DQS in an SSIS package

Lab : De-duplicating Data

• Creating a matching policy
• Using a DS project to match data

This module describes how to implement master data services to enforce data integrity at source.Lessons

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

Lab : Implementing Master Data Services

• Creating a master data services model
• Using the master data services add-in for Excel
• Enforcing business rules
• Loading data into a model
• Consuming master data services data

This module describes how to extend SSIS with custom scripts and components.Lessons

• Using scripting in SSIS
• Using custom components in SSIS

Lab : Using scripts

• Using a script task
•  

This module describes how to deploy and configure SSIS packages.Lessons

• Overview of SSIS Deployment
• Deploying SSIS Projects
• Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

• Creating an SSIS catalog
• Deploying an SSIS project
• Creating environments for an SSIS solution
• Running an SSIS package in SQL server management studio
• Scheduling SSIS packages with SQL server agent

This module describes how to debug and troubleshoot SSIS packages.Lessons

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

Lab : Using a data warehouse

• Exploring a reporting services report
• Exploring a PowerPivot workbook
• Exploring a power view report