Managed Business & IT Training Solutions

MBIT Training Ltd

Course: Implementing a SQL Data Warehouse (20767 part of MCSA SQL 2016 BI)

This 5-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.
SKU: 20767
GTIN: 20767
Manufacturer: Microsoft
£1,950.00 (GBP)
£1,790.00 (GBP)

Delivery: Blended learning
OR On-site (Private delivery)
Minimum number of delegates: 1:1
Maximum class size: 20
Delivery date: (as requested by customer)
Offers: contact for details however 20% consecutive discount on all group bookings.
Next availability: Immediate
Applicable for: Application Developer, Data Analyst, Programmer
Offers: contact for details

This 5-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:

  • 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 Service
  • 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

(cited from Microsoft Learning website)