Realdolmen Education

Details

Implementing a SQL Data Warehouse (MOC 20767)

This course is currently not scheduled on the open calendar, but can be organized on request.

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Duration

5 day(s)

Audience

The primary audience for this course are database professionalswho need to fulfil a Business Intelligence Developer role.  They will needto focus on hands-on work creating BI solutions including Data Warehouseimplementation, ETL, and data cleansing.

Prerequisites

Objectives

Aftercompleting 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.

Methods

Classroom training with hands-on exercises

Description

This course describes how to implement a data warehouse platformto support a BI solution. Students will learn how to create a data warehousewith Microsoft® SQL Server® with Azure SQL Data Warehouse, to implement ETLwith SQL Server Integration Services, and to validate and cleanse data with SQLServer Data Quality Services and SQL Server Master Data Services.

Contents