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Big Data Foundations: Core Concepts

Learn the core concepts of big data. This course will teach you how large-scale data systems work and how modern technologies manage, process, and deliver value from massive, complex datasets.

Beginner
1h 11m

Created by Troy Kranendonk

Last Updated Feb 18, 2026

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  • Course

Big Data Foundations: Core Concepts

Learn the core concepts of big data. This course will teach you how large-scale data systems work and how modern technologies manage, process, and deliver value from massive, complex datasets.

Beginner
1h 11m

Created by Troy Kranendonk

Last Updated Feb 18, 2026

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What you'll learn

Organizations increasingly struggle with data volumes, speeds, and variety that exceed the limits of conventional tools. In this course, Big Data Foundations: Core Concepts, you’ll gain the ability to understand and explain how big data systems are designed and why they matter. First, you’ll explore what “big data” means, including the 5 V's and how these characteristics shape system architecture. Next, you’ll discover the stages of the big data lifecycle—from generation and ingestion to storage, processing, and consumption—and how batch and streaming use cases fit within it. Finally, you’ll learn how major technology categories such as distributed storage, distributed processing, query engines, and orchestration tools work together to build scalable architectural patterns like data lakes, lakehouses, and pipelines. When you’re finished with this course, you’ll have the skills and knowledge of big data fundamentals needed to understand modern data platforms and participate confidently in designing or supporting large-scale data solutions.

Big Data Foundations: Core Concepts
Beginner
1h 11m
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About the author
Troy Kranendonk - Pluralsight course - Big Data Foundations: Core Concepts
Troy Kranendonk
31 courses 4.5 author rating 574 ratings

Troy Kranendonk is a Principal Data Author with extensive experience in data analysis, business intelligence, and the art of data visualization. Troy focuses on data education, excelling in content creation and sharing his expertise to help others understand and visualize data effectively.

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