This course provides a practical introduction to the Apache Hadoop ecosystem. You will learn the basic skills needed to analyze and manage large, unstructured datasets. The course covers core concepts such as the data lake, MapReduce, and using Spark for analytics. You will install and configure Hadoop on your own computer using the Hortonworks HDP sandbox. The course includes instruction on the Hadoop Distributed File System (HDFS), its architecture, and how to use it in real-world situations. This course is suitable for beginners and those looking to expand their data analytics skills. By the end, you will understand the fundamentals of Hadoop and Spark for scalable data processing.
Hadoop and Spark Fundamentals: Unit 1
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Hadoop and Spark Fundamentals: Unit 1
This course is part of Hadoop and Spark Fundamentals Specialization
Instructor: Pearson
Included with 
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.
Skills you'll gain
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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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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