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Implementing a SQL Data Warehouse (20767)

 

Opis szkolenia

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).

Profil słuchaczy

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.

Certyfikacje

Ten kurs jest częścią następującej ścieżki certyfikacyjnej:

Wymagania

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.

Cel szkolenia

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

Proponowane kolejne szkolenia

Online training
Modality: L

Trwa 5 dni

Cena (excl. tax)
  • Polska: 4.070,- PLN
  • SA Voucher: 5
    hardcoded default SA
Classroom training
Modality: C

Trwa 5 dni

Cena (excl. tax)
  • Polska: 4.070,- PLN
  • SA Voucher: 5
    hardcoded default SA

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Angielski
1 hour difference
Online training This is an Angielski language FLEX course.
Time zone: Greenwich Mean Time (GMT)
Online training This is an Angielski language FLEX course.
Time zone: Greenwich Mean Time (GMT)
Online training This is an Angielski language FLEX course.
Time zone: Greenwich Mean Time (GMT)
Online training This is an Angielski language FLEX course.
Time zone: British Summer Time (BST)
Online training This is an Angielski language FLEX course.
Time zone: UTC+3
2 hours difference
Online training This is an Angielski language FLEX course.
Time zone: UTC+3
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Time zone: UTC+4
3 hours difference
Online training This is an Angielski language FLEX course.
Time zone: UTC+4
7 hours difference
Online training Time zone: Central Standard Time (CST)
Instructor-led Online Training:   This is an Instructor-Led Online course
This is a FLEX course, which is delivered both virtually and in the classroom.
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This is a FLEX course, which is delivered both virtually and in the classroom.