Featured resource
2026 Tech Forecast
2026 Tech Forecast

Stay ahead of what’s next in tech with predictions from 1,500+ business leaders, insiders, and Pluralsight Authors.

Get these insights
  • Course

Design Principles for Effective Storage Solutions

Storage is at the core of every data platform. This course will teach you how to choose and design a storage strategy to ensure your data is always available, resilient, and useful.

Beginner
1h 1m
(106)

Created by Axel Sirota

Last Updated Aug 22, 2024

Course Thumbnail
  • Course

Design Principles for Effective Storage Solutions

Storage is at the core of every data platform. This course will teach you how to choose and design a storage strategy to ensure your data is always available, resilient, and useful.

Beginner
1h 1m
(106)

Created by Axel Sirota

Last Updated Aug 22, 2024

Get started today

Access this course and other top-rated tech content with one of our business plans.

Try this course for free

Access this course and other top-rated tech content with one of our individual plans.

This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

It is crucial to have you data available at all times. In this course, Design Principles for Effective Storage Solution, you’ll learn to choose and design a storage strategy to ensure your data is always available, resilient, and useful. First, you’ll explore how to choose a data storage solution. Next, you’ll discover Azure storage and Azure Data Lake Storage V2. Finally, you’ll learn Azure CosmosDB and Azure Synapse Analytics as storage solutions. When you’re finished with this course, you’ll have the skills and knowledge of storage in Azure needed to design an effective storage solution.

Design Principles for Effective Storage Solutions
Beginner
1h 1m
(106)
Table of contents

About the author
Axel Sirota - Pluralsight course - Design Principles for Effective Storage 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.

Get started with Pluralsight