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Implementing a SQL Data Warehouse (MOC 20767)

 

Course Overview

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.

This course replacesImplementing a Data Warehouse with Microsoft SQL Server (MOC 20463).

The exam for this course is available until 31 Januar 2021. You can still book the course afterwards.

Who should attend

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.

Prerequisites

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.

Course Objectives

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

Follow On Courses

Online Training

Duration 5 days

Price (excl. tax)
  • 2,390.— €
  • SA Voucher: 5
    hardcoded default SA
Digital courseware

Courseware language: English

Classroom Training

Duration 5 days

Price (excl. tax)
  • Germany: 2,390.— €
  • Switzerland: CHF 3,110.—
  • SA Voucher: 5
    hardcoded default SA
incl. catering Digital courseware

Courseware language: English

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.
English
2 hours difference
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.
Germany
Berlin
Hamburg
Münster
Münster
Frankfurt
Switzerland
Zurich This is a FLEX course in German language.
Time zone: Central European Time (CET)
Zurich This is a FLEX course in German language.
Time zone: Central European Time (CET)
Zurich This is a FLEX course in German language.
Time zone: Central European Summer Time (CEST)

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.