Who is this class for: This course is intended for practitioners. We introduce a wide range of Big Data technologies and frameworks that are very commonly used across computer industry. We assume you are familiar with some programming language (such as Python or Java), and are now interested to take your knowledge to the next step by leveraging "frameworks" that do much of the heavy lifting involved in distributed Big Data systems. Most of the code snippets introduced in the lectures can be read as pseudocode.


Created by:   University of Illinois at Urbana-Champaign

  • Reza Farivar

    Taught by:    Reza Farivar, Data Engineering Manager at Capital One, Adjunct Research Assistant Professor of Computer Science

    Department of Computer Science

  • Roy H. Campbell

    Taught by:    Roy H. Campbell, Professor of Computer Science

    Department of Computer Science
Basic Info
Course 4 of 6 in the Cloud Computing Specialization.
CommitmentThere is about 3-4 hours of video lectures per week. Each week's quiz takes about 30 minutes.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.0 stars
Average User Rating 4.0See what learners said
Syllabus

FAQs
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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
University of Illinois at Urbana-Champaign
Pricing
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Ratings and Reviews
Rated 4 out of 5 of 43 ratings

Better understanding of latest technology

good practical materials which help to better understand the theories from previous courses

A very good course, with interesting topics about Big Data, Cloud Computing and MapReduce paradigm with real application examples.

good things to learn about real world big problems