Implementing a Data Warehouse with Microsoft SQL Server Outline
Module 1: Introduction to Data Warehousing
Lab: Exploring a Data Warehousing Solution
Module 2: Data Warehouse Hardware Considerations
Lab: Planning Data Warehouse Infrastructure
Module 3: Designing and Implementing a Data Warehouse
Lab: Implementing a Data Warehouse Schema
Module 4: Creating an ETL Solution with SSIS
Lab: Implementing Data Flow in an SSIS Package
Module 5: Implementing Control Flow in an SSIS Package
Lab: Implementing Control Flow in an SSIS Package
Lab: Using Transactions and Checkpoints
Module 6: Debugging and Troubleshooting SSIS Packages
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Debugging an SSIS Package
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Logging SSIS Package Events
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Handling Errors in an SSIS Package
Lab: Debugging and Troubleshooting an SSIS Package
Module 7: Implementing an Incremental ETL Process
Lab: Extracting Modified Data
Lab: Loading Incremental Changes
Module 8: Enforcing Data Quality
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Introduction to Microsoft SQL Server Data Quality Services (DQS)
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Using Data Quality Services to Cleanse Data
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Using Data Quality Services to Match Data
Lab: Cleansing Data
Lab: De-duplicating data
Module 9: Using Master Data Services
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Master Data Services Concepts
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Implementing a Master Data Services Model
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Managing Master Data
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Creating a Master Data Hub
Lab: Implementing Master Data Services
Module 10: Extending SQL Server Integration Services
Lab: Using Custom Components and Scripts
Module 11: Deploying and Configuring SSIS Packages
Lab: Deploying and Configuring SSIS Packages
Module 12: Consuming Data in a Data Warehouse
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Introduction to Business Intelligence
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Introduction to Reporting
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An Introduction to Data Analysis
Lab: Using Business Intelligence Tools