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⇱ Hadoop and Spark Fundamentals: Unit 1 | Coursera

Hadoop and Spark Fundamentals: Unit 1

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Hadoop and Spark Fundamentals: Unit 1

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
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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Assessments

3 assignments

Taught in English

Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

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.

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

18 videos•Total 290 minutes
  • Specialization Introduction•4 minutes
  • Learning objectives•1 minute
  • Understand Big Data and analytics•18 minutes
  • Understand Hadoop as a data platform•23 minutes
  • Understand Hadoop MapReduce basics•15 minutes
  • Understand Spark language basics•21 minutes
  • Learn the Linux command line features•24 minutes
  • Preview Hadoop V3 new features•16 minutes
  • Learning objectives•1 minute
  • Install Hortonworks Hadoop and Spark HDP Sandbox•16 minutes
  • Install from Hadoop sources—Part 1•30 minutes
  • Install from Hadoop sources—Part 2•16 minutes
  • Install from Spark sources•20 minutes
  • Learning objectives•1 minute
  • Understand HDFS basics•24 minutes
  • Use HDFS command line tools•27 minutes
  • Use HDFS in programs•18 minutes
  • Utilize additional features of HDFS•15 minutes
3 assignments•Total 90 minutes
  • Background Concepts Quiz•30 minutes
  • Running Hadoop on a Desktop or Laptop Quiz•30 minutes
  • The Hadoop Distributed File System Quiz•30 minutes

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Instructors

Pearson
268 Courses•67,407 learners

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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.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,