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DataOps Foundations: Core Concepts

Data is the foundation for businesses, and AI depends on good data for accurate answers. This course will teach you crucial DataOps concepts to ensure you have timely, high-quality data that provides the most business value possible.

Beginner
32m

Created by Matt Stenzel

Last Updated Feb 25, 2026

Course Thumbnail
  • Course

DataOps Foundations: Core Concepts

Data is the foundation for businesses, and AI depends on good data for accurate answers. This course will teach you crucial DataOps concepts to ensure you have timely, high-quality data that provides the most business value possible.

Beginner
32m

Created by Matt Stenzel

Last Updated Feb 25, 2026

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What you'll learn

Many organizations struggle with slow, unreliable, or inconsistent data that undermines analytics, decision‑making, and the value of AI.

In this course, DataOps Foundations: Core Concepts, you’ll gain the ability to build reliable, collaborative, and continuously improving data delivery practices.

First, you’ll explore what DataOps is, why it emerged, and how it differs from traditional data management and adjacent disciplines like DevOps, MLOps, and Data Engineering.

Next, you’ll discover the core principles of agility, automation, and continuous improvement, along with the roles, handoffs, and lifecycle stages that make DataOps work.

Finally, you’ll learn how to identify common barriers to adoption and apply strategies that help teams deliver higher‑quality, more trustworthy data.

When you’re finished with this course, you’ll have the skills and knowledge of DataOps needed to create data systems that are timely, accurate, and aligned to business value.

DataOps Foundations: Core Concepts
Beginner
32m
Table of contents

About the author
Matt Stenzel - Pluralsight course - DataOps Foundations: Core Concepts
Matt Stenzel
15 courses 4.0 author rating 15 ratings

Matt Stenzel is a Data and AI Cloud Solution Architect at Microsoft. He has 15+ years of experience in the data and analytics industry working in various roles including a software developer, data engineer, DW developer, DBA and integration architect. He has spent the last 8 years working at Microsoft helping companies across the US successfully implement Azure solutions that provide business value.

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