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Design Principles for Implementing Batch Processing Solutions

Batch processing is the core of Big Data analysis. This course will teach you how to design effectively and optimal batch processing solutions in Azure for your own needs.

Beginner
1h 16m
(54)

Created by Axel Sirota

Last Updated Aug 22, 2024

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  • Course

Design Principles for Implementing Batch Processing Solutions

Batch processing is the core of Big Data analysis. This course will teach you how to design effectively and optimal batch processing solutions in Azure for your own needs.

Beginner
1h 16m
(54)

Created by Axel Sirota

Last Updated Aug 22, 2024

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

Batch processing is key to big Data. but such requests may take several hours and may have many different challenges to be implemented correctly. In this course, Design Principles for Implementing Batch Processing Solution, you’ll learn to design optimal batch processing solutions in Azure. First, you’ll explore what batch processing really is.. Next, you’ll discover how Azure offers services for each part of a batch architecture. Finally, you’ll learn how to implement these pipelines in Azure Data Factory. When you’re finished with this course, you’ll have the skills and knowledge of batch processing in Azure needed to to design effective and optimal batch processing solutions in Azure for your own needs

Design Principles for Implementing Batch Processing Solutions
Beginner
1h 16m
(54)
Table of contents

About the author
Axel Sirota - Pluralsight course - Design Principles for Implementing Batch Processing Solutions
Axel Sirota
36 courses 3.6 author rating 1141 ratings

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.

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