Azure Data Engineering

Expertise in designing and implementing data solutions that use Microsoft Azure data services

3.70 (11 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Azure Data Engineering
66
students
11.5 hours
content
Apr 2024
last update
$49.99
regular price

What you will learn

You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.

How to take advantage of this technology to an organizations benefit.

You can have expertise in designing and implementing data solutions that use Microsoft Azure data services.

In this course, you will learn the various data platform technologies available, and how a Data Engineer can take advantage of this technology to an organizati

Why take this course?

If you are planning for Azure Data Engineering certification and willing to learn each and every important piece of it with not only theory but with 100% conceptual and practical approach then this course is for you.

This Course to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.

This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services.

A candidate for this certification must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.



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4361576
udemy ID
10/22/2021
course created date
11/1/2021
course indexed date
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