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, Subtitles: Korean
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
How It Works
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

Creators
University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Pricing
Comprar curso
Accede a los materiales del curso

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Accede a los materiales con calificación

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Recibe una calificación final

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Obtén un Certificado de curso para compartir

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Ratings and Reviews
Rated 4 out of 5 of 88 ratings

This course is only informative. It provides good information of current big data technology and tool. It would be good if course also provide some assignment to complete so that course gives some hands on on technology.

Introduces major Big data technologies and products and their use-cases. There are some "rough edges" as this course has clearly been built from videos from former courses, and as usual with Coursera - there are numerous errors in the subtitles/transcripts, Problematic if you're deaf or find following spoken English difficult. Still - the lecturers are very enthusiastic and you can see that they really tried hard to explain the Big data technologies - so 4 stars rounded to 5.

Great course!

This course is really useful to get an overview of the cloud technologies if you are ether curious know what's out there, or if you are trying to determine which technologies you should focus on for the problem you are trying to solve. I believe the course is a lot more relevant if you tried out some cloud framework (i.e. play with one of the Docker or Vagrant VM demos)

The lecturers are clear, and the audio and slides are of good quality. One of the most valuable pieces of information from this course (that you cannot easily discern from reading documentation on each framework) is how the lectures link strengths or weaknesses in a technology or algorithm to its inner-workings.

One small nitpick is that the quiz questions could be improved. A lot of them is regurgitation of definitions (or regurgitation of the order of bullet points in a slide somewhere), rather than analytical style questions that require the user to think of the concepts. The end result is that the quizzes are very easy but not valuable. I assume this course had assignments before, but they appear to have been removed.