Implementing a SQL Data Warehouse (20767)

Course Description Schedule Course Outline
 

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 (20463).

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.

Certifications

This course is part of the following Certifications:

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

Classroom Training
Modality: C

Duration 5 days

Price (incl. tax)
  • United Arab Emirates: US$ 1,573.-
  • SA Voucher: 5
Dates and Booking
 
Click on town name to book Schedule
Middle East
United Arab Emirates
16/09/2018 - 20/09/2018 Dubai Course language: English
02/12/2018 - 06/12/2018 Dubai Course language: English
Qatar
16/12/2018 - 20/12/2018 Doha Course language: English
Europe
Germany
23/07/2018 - 27/07/2018 Munich
20/08/2018 - 24/08/2018 Münster
17/09/2018 - 21/09/2018 Hamburg
15/10/2018 - 19/10/2018 Berlin
12/11/2018 - 16/11/2018 Frankfurt
10/12/2018 - 14/12/2018 Düsseldorf
Italy
23/07/2018 - 27/07/2018 Rome
17/09/2018 - 21/09/2018 Milan
05/11/2018 - 09/11/2018 Rome
10/12/2018 - 14/12/2018 Milan
Poland
02/07/2018 - 06/07/2018 Warsaw
24/09/2018 - 28/09/2018 Warsaw
10/12/2018 - 14/12/2018 Warsaw
Switzerland
02/07/2018 - 06/07/2018 Zurich
22/10/2018 - 26/10/2018 Zurich
United Kingdom
09/07/2018 - 13/07/2018 Birmingham
13/08/2018 - 17/08/2018 Manchester
13/08/2018 - 17/08/2018 London (Int Hse)
01/10/2018 - 05/10/2018 London (Int Hse)
29/10/2018 - 02/11/2018 Manchester
29/10/2018 - 02/11/2018 Birmingham
03/12/2018 - 07/12/2018 London (Int Hse)
28/01/2019 - 01/02/2019 Manchester
Africa
Egypt
23/09/2018 - 27/09/2018 Cairo Course language: English
02/12/2018 - 06/12/2018 Cairo Course language: English
North America
United States
09/07/2018 - 13/07/2018 Online Training Time zone: US/Eastern Course language: English
06/08/2018 - 10/08/2018 Online Training Time zone: US/Eastern Course language: English
Latin America
Peru
03/09/2018 - 07/09/2018 Online Training Time zone: America/Lima Course language: Spanish
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.