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Azure Data Engineer Certification: Implementing an Azure Data Solution (DP-200)

In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data.


Virtual

Learning Style

Intermediate

Difficulty

3 Days

Course Duration

3

SATV Value

Course Info

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In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data.

Course Information

If you enroll in this course without the Master Subscription plan, you receive a Free Official Exam Voucher for the DP-200 Exam. This course does not include Exam Voucher if enrolled within the Master Subscription, however, you can request to purchase the Official Exam Voucher separately.

About this Course:

In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data. 

The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.

The average salary of Azure Data Engineer is $122,883 per year.


Course Objectives:

  • Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Databases with Cosmos DB
  • Working with Relational Data Stores in the Cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms


Audiences:

  • The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
  • The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.


Prerequisites:

  • Must have technical knowlege equivalent to Azure Fundamentals

Outline

More Information

More Information
Brand Microsoft
Subjects Cloud Computing
Lab Access No
Technology Microsoft
Learning Style Virtual Classroom
Difficulty Intermediate
Course Duration 3 Days
Language English
SATV Value 3

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