Implementing an Azure Data Solution | Azure Data Science Course|GKT
Implementing an Azure Data Solution - DP-200T01-A
Course Description
In this Azure Data Science 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.
Objectives
After completing Implementing an Azure Data Solution course, students will be able to:
Audience
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 Azure Data Science Course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
Prerequisites
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
Azure fundamentals
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July 2020