Implementing a Data Warehouse with Microsoft® SQL Server® 2012 Training Course
Microsoft Official Curriculum Course Number: 10777
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.
|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|
|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
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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