Implementing a Data Warehouse with Microsoft® SQL Server® 2012 Training Course


Microsoft Official Curriculum Course Number: 10777
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Overview:
Students will learn how to create a data warehouse with SQL Server 2012, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Who Should Attend:
This course is intended for database professionals who need to fulfill 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: 
- Describe data warehouse concepts and architecture considerations. 
- Select an appropriate hardware platform for a data warehouse. 
- Design and implement a data warehouse. 
- Implement Data Flow in an SSIS Package. 
- Implement Control Flow in an SSIS Package. 
- Debug and Troubleshoot SSIS packages. 
- Implement an SSIS solution that supports incremental data warehouse loads and changing data. 
- Integrate cloud data into a data warehouse ecosystem infrastructure. 
- Implement data cleansing by using Microsoft Data Quality Services. 
- Implement Master Data Services to enforce data integrity. 
- Extend SSIS with custom scripts and components. 
- Deploy and Configure SSIS packages. 
- Describe how information workers can consume data from the data warehouse.

Prerequisite Comments:
Before attending this course, student should have at least 2 years’ experience of working with relational databases, including: - Designing a normalized database. - Creating tables and relationships. - Querying with Transact-SQL. - Some exposure to basic programming constructs (such as looping and branching). - An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable
Outline:
Lesson 1: Introduction to Data Warehousing
Overview of Data Warehousing 
Considerations for a Data Warehouse Solution 
Lab : Exploring a Data Warehousing Solution 


Lesson 2: Data Warehouse Hardware
Considerations for Building a Data Warehouse 
Data Warehouse Reference Architectures and Appliances
Lesson 3: gning and Implementing a Data Warehouse
Logical Design for a Data Warehouse 
Physical Design for a Data Warehouse 
Lab : Implementing a Data Warehouse Schema
Lesson 4: Creating an ETL Solution with SSIS
Introduction to ETL with SSIS 
Exploring Source Data 
Implementing Data Flow 
Lab : Implementing Data Flow in a SSIS Package
Lesson 5: Implementing Control Flow in an SSIS Package
Introduction to Control Flow 
Creating Dynamic Packages 
Using Containers 
Managing Consistency 
Lab : Implementing Control Flow in an SSIS Package 
Lab : Using Transactions and Checkpoints

Lesson 6: Debugging and Troubleshooting SSIS Packages
Debugging an SSIS Package 
Logging SSIS Package Events 
Handling Errors in an SSIS Package 
Lab : Debugging and Troubleshooting an SSIS Package
Lesson 7: Implementing an Incremental ETL Process
Introduction to Incremental ETL 
Extracting Modified Data 
Loading Modified Data 
Lab : Extracting Modified Data 
Lab : Loading Incremental Changes
Lesson 8: Incorporating Data from the Cloud into a Data Warehouse
Overview of Cloud Data Sources 
SQL Server Database 
The Windows Azure Marketplace 
Lab : Using Cloud Data in a Data Warehouse Solution
Lesson 9: Enforcing Data Quality
Introduction to Data Quality 
Using Data Quality Services to Cleanse Data 
Using Data Quality Services to Match Data 
Lab : Cleansing Data 
Lab : Deduplicating Data

Lesson 10: Using Master Data Services
Introduction to Master Data Services 
Implementing a Master Data Services Model 
Using the Master Data Services Add-in for Excel 
Lab : Implementing Master Data Services
Lesson 11: Extending SQL Server Integration Services
Using Custom Components in SSIS 
Using Scripts in SSIS 
Lab : Using Custom Components and Scripts
Lesson 12: Deploying and Configuring SSIS Packages
Overview of SSIS Deployment 
Deploying SSIS Projects 
Planning SSIS Package Execution 
Lab : Deploying and Configuring SSIS Packages
Lesson 13: Consuming Data in a Data Warehouse
Introduction to Business Intelligence 
Introduction to Reporting 
Introduction to Data Analysis 
Lab : Using Business Intelligence Tools
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