Implementing a Data Warehouse with Microsoft® SQL Server® 2014 (20463D) - Agilis

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

Warehouse photo


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.


Module 1: Introduction to Data Warehousing

Module 2: Data Warehouse Hardware Considerations

Module 3: Designing and Implementing a Data Warehouse

Module 4: Creating an ETL Solution with SSIS

Module 5: Implementing Control Flow in an SSIS Package

Module 6: Debugging and Troubleshooting SSIS Packages

Module 7: Implementing an Incremental ETL Process

Module 8: Enforcing Data Quality

Module 9: Using Master Data Services

Module 10: Extending SQL Server Integration Services

Module 11: Deploying and Configuring SSIS Packages

Module 12: Consuming Data in a Data Warehouse

Learning Outcomes

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.

Participants and Requirements

Before attending this course, students must have:
• At least 2 years’ experience of working with relational databases, including:
• Designing a normalised database.
• Creating tables and relationships.
• Querying with Transact-SQL.
• Some exposure to basic programming constructs (such as looping and branching).

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.


Microsoft Certificate Exam 70-463

Course Duration

5 days