Pearson
Hadoop and Spark Fundamentals: Unit 1

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Pearson

Hadoop and Spark Fundamentals: Unit 1

Pearson

Instructor: Pearson

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the core concepts of Hadoop, including its architecture, data lake metaphor, and the role of MapReduce and Spark in big data analytics.

  • Install and configure a full-featured Hadoop and Spark environment on your desktop or laptop using the Hortonworks HDP sandbox.

  • Navigate and utilize the Hadoop Distributed File System (HDFS), including advanced features like high availability and federation.

  • Gain hands-on experience running Hadoop and Spark applications, preparing you for real-world data analytics challenges.

Details to know

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Recently updated!

August 2025

Assessments

3 assignments

Taught in English

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This course is part of the Hadoop and Spark Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course

This module introduces the fundamentals of Hadoop and Spark, starting with core concepts and the transformative impact of Hadoop on data management. It guides learners through installing a full-featured Hadoop environment on a desktop or laptop using the Hortonworks HDP sandbox or direct installation. The module also covers the Hadoop Distributed File System (HDFS), highlighting its architecture, advantages for big data, navigation tools, and advanced features. A bonus lesson provides essential Linux command line skills for beginners.

What's included

18 videos3 assignments

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Pearson
Pearson
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