Implementing a Data Warehouse with Microsoft SQL Server 2012 On-Site Training
Implementing a Data Warehouse with Microsoft SQL Server 2012 Course Description/AgendaIn this course, you will learn how to implement a business intelligence (BI) platform to support information worker analytics using the prerelease version of the SQL Server 2012 software in the virtual machines for the labs. You will discover how to create a data warehouse with SQL Server 2012, implement extract, transform, and load (ETL) with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services (DQS) and SQL Server Master Data Services. Many of the labs are SQL Azure enabled. What You'll Learn
Who Should Attend Database professionals who need to fulfill a BI developer role focused on hands-on work, creating BI solutions included data warehouse implementation, ETL, and data cleansing Database professionals responsible for implementing a data warehouse, developing SSIS packages for data extraction, loading, transferring, transforming, and enforcing data integrity using Master Data Services, and cleansing data using DQS Course Prerequisites
Course Outline 1. Data Warehousing
2. Data Warehouse Hardware Considerations
3. Designing and Implementing a Data Warehouse
4. Design and Implement a Schema for a Data Warehouse
5. Implementing Control Flow in an SSIS Package
6. Debugging and Troubleshooting SSIS Packages
7. Implementing an Incremental ETL Process
8. Incorporating Data from the Cloud in a Data Warehouse
9. Enforcing Data Quality
10. Using Master Data Services
11. Extending SSIS
12. Deploying and Configuring SSIS Packages
13. Consuming Data in a Data Warehouse
Labs Lab 1: Explore a Data Warehouse SolutionLab 2: Implement a Data Warehouse SchemaLab 3: Implement Data Flow in a SSIS PackageLab 4A: Implement Control Flow in a SSIS PackageLab 4B: Use Transactions and CheckpointsLab 5: Debug and Troubleshoot a SSIS PackageLab 6A: Extract Modified DataLab 6B: Load Incremental ChangesLab 7: Use Cloud Data in a Data Warehouse SolutionLab 8A: Cleanse DataLab 8B: De-Duplication DataLab 9: Implement Master Data ServicesLab 10: Use Scripts and Custom ComponentsLab 11: Deploy and Configure SSIS PackagesLab 12: Use a Data Warehouse
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