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Data warehousing is a solution organizations use to centralize business data for reporting and analysis. This five-day instructor-led course focuses on teaching individuals how to create a data warehouse with SQL Server 2012, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
All the labs for this course can be performed using the provided virtual machines. However, if you have a Microsoft Windows Azure account and the classroom virtual machines connect to the internet you may be able to connect to your Azure server and database from the classroom. Many of the labs in this course are enabled for you to perform the lab while connected to your own Azure database in the cloud. Your instructor should be able to provide a current list of Azure enabled labs
5 Days/Lecture & Lab
This course is intended for database professionals who need to fulfill 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 SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading (ETL).
Enforcing data integrity by using Master Data Services.
Cleansing data by using Data Quality Services.
Before attending this course, student should have:
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.
Last Update: June 18, 2013