Implementing a Data Warehouse with Microsoft SQL Server
Training
Inhouse
Description
-
Type
Training
-
Methodology
Inhouse
-
Duration
93 Days
-
Start date
Different dates available
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.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Computing
- Server
- IT
- SQL
- Quality
- Communication Skills
- Quality Training
- Microsoft
- Data Warehouse
- Microsoft SQL
Teachers and trainers (1)
Course programme
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.
Audience Profile:
This course is intended for database professionals who need to create and support a data warehousing solution.
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 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.
(cited from Microsoft Learning website)
Implementing a Data Warehouse with Microsoft SQL Server