KT-20767 Implementing a SQL Data Warehouse Course 20767 Training - Minneapolis, Minnesota IT MN Technical Financial New York, NY
Knowledge Transfer Microsoft Certified Silver Training Partner CPLS
Knowledge Transfer is a Microsoft Certified Silver Learning Partner
Oracle University

 

Microsoft Certified Training Partner CTEC
Search for a Course Topic:
Public Courses
Corporate Services & Training
 

 

 



 Course Search
Keyword
Course #
State

 Training Delivery
 
Training Delivery
Custom Curriculum
Course List
Certifications
 
 Main Menu
 
Home
View Courses
Site Index
 
 


Implementing a SQL Data Warehouse Course 20767


Description: 

About this course

This 4-day instructor led 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® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Audience profile

The primary audience for this course are 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. 

At course completion

After completing this course, students will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the main hardware considerations for building a data warehouse
  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse
  • Create columnstore indexes
  • Implementing an Azure SQL Data Warehouse
  • Describe the key features of SSIS
  • Implement a data flow by using SSIS
  • Implement control flow by using tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • Debug SSIS packages
  • Describe the considerations for implement an ETL solution
  • Implement Data Quality Services
  • Implement a Master Data Services model
  • Describe how you can use custom components to extend SSIS
  • Deploy SSIS projects
  • Describe BI and common BI scenarios

 
Click here to view the Course Outline
     
Prerequisite: 

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • 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.
 
   
     
Duration: 
4 Days  
     
     

View Printer Friendly Page

 


To Inquire About Future Classes

Request a class date

if one is not scheduled.