Course OD20767C: Implementing a SQL Data Warehouse (90 Day)

Choose how you want to learn: online or in a classroom
Compare learning environments

On-demand training

Learn more

Classroom training

Learn more

Find a Microsoft Learning PartnerFind an on-demand training partnerFind a classroom training partner
Anytime accessYesNo
Anywhere access to recorded instructorYesNo
Microsoft official training contentYesYes
In-depth trainingYesYes
Hands-on labs Yes Yes
SATV redemption Yes Yes
Ask instructor questions in personNoYes
Attend live class in personNoYes
Attend live class remotelyNoYes
Time commitment Self-paced
(3 month access)
5 days
À propos de ce cours
Technologie :SQL Server
Niveau :Advanced
Cette révision :C
Durée :2 days
Langue(s) :English

Première publication :

07 June 2018
Présentation
À propos de ce cours

This course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

Profil du participant

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. 

À la fin du cours

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.
Communauté

Vous recherchez des ressources de formation, des événements et des conseils d'homologues ? Rejoignez la communauté de formation et de certification Microsoft.

Vous vous préparez à un examen ? Trouvez votre groupe d'étude de certification Microsoft.