Implementing a Data Warehouse with Microsoft SQL Server 2014 (20463)

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This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.


This course is intended for database professionals who need to fulfil 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. Primary responsibilities include:

  • Implementing a data warehouse.
  • Developing SSIS packages for data extraction, transformation, and loading.
  • Enforcing data integrity by using Master Data Services.
  • Cleansing data by using Data Quality Services.


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 ETL solution that supports incremental data extraction.
  • Implement an ETL solution that supports incremental data loading.
  • 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 BI solutions can consume data from the data warehouse.


This course requires that you meet the following prerequisites:

  • 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.


  1. Module 1: Introduction to Data Warehousing
  2. Module 2: Data Warehouse Hardware Considerations
  3. Module 3: Designing and Implementing a Data Warehouse
  4. Module 4: Creating an ETL Solution with SSIS
  5. Module 5: Implementing Control Flow in an SSIS Package
  6. Module 6: Debugging and Troubleshooting SSIS Packages
  7. Module 7: Implementing an Incremental ETL Process
  8. Module 8: Enforcing Data Quality
  9. Module 9: Using Master Data Services
  10. Module 10: Extending SQL Server Integration Services
  11. Module 11: Deploying and Configuring SSIS Packages
  12. Module 12: Consuming Data in a Data Warehouse


Implementing a Data Warehouse with Microsoft SQL Server 2014 (20463)

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