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Learner Reviews & Feedback for Introduction to Big Data by University of California San Diego

10,693 ratings

About the Course

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top reviews


Sep 8, 2019

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.


Aug 11, 2021

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

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1851 - 1875 of 2,444 Reviews for Introduction to Big Data

By Zhe X

Jan 12, 2017

Too many concepts, better to provide more interactive questions during the video and more examples to demonstrate the concept.

If possible, make the assignment submission free.

By Tze M H

Aug 2, 2017

The course is good giving a lot of information for background. However, I personally would suggest the context would be better understood if its structure is more organised.

By sandeep d

Jun 7, 2019

The course majorly teaches you the importance of big data in first 2 weeks. 3rd week, it gives you good brief of big data tools and technology. Good course for foundations.

By Syed S A

Aug 10, 2020

It was a comprehensive course that adequately covered introduction to big data. I think only in week 3, there should be a bit more details and practices on Map and Reduce

By Cheng-shuo Y

Dec 21, 2017

The map-reduce is really intriguing. However, I think this class is kind of more suitable for those who are really new to this field. Anyway, a lot of things are learned.


Jan 2, 2020

Very interesting course and well explained course . It is very good as a foundation course. Minimum hardware needs should be mentioned at the very begging of the course!

By Gajendra B D

Oct 28, 2016

It was a Good course to start with the Big Data. The content is also good and properly arranged. Good Instructors. I will suggest this course as a starter for Big Data.

By Manish S

May 14, 2020

It is a good course for people who have no prior knowledge of Big Data. The course doesn't get into much details of Hadoop but does provides an overview of MapReduce.

By Andrea P

Jan 20, 2019

A bit too simple, but it's understandable given the name of the course. Good broad and general introduction to the world of Big Data.

Useful initial steps into Hadoop

By Lim J H G

May 22, 2020

A good place to start for those who are interested in learning about Big Data, the technicality of week 3 can be a little challenging but very useful nonetheless!

By Estanislao H A

Nov 30, 2020

Thank you very much, iss still hard to work with thins opensources platforms cause many of the configs can mess up the practices, but, everything else is great.

By Venkataraghavan

Jan 5, 2018

I found the course to be informative. I found the questions in the assignments to be challenging sometimes. These questions require one to by heart the answers,

By Mehedi H S 1

May 4, 2020

I think it is too much basic course that can help much a beginner in that sector for the beginning. Both teachers have nicely explained their topics.

Thank you

By Василий П

Apr 20, 2020

Basically, first two weeks were like memory training exercise.

A lot of general concepts unsupported by practical examples.

Only third week is interesting.

By Anshu V

Jul 13, 2020

It was excellent and good content to have knowledge on BIG Data overview and after every chapter their is exercise quiz test which is good to get confidence.


Apr 26, 2020

Debería tener información más actualizada, por ejemplo, el Hadoop presenta algunos problemas pues ha habido cambios en la aplicación y su forma de instalarla

By Leticia R d S M

Mar 5, 2020

A parte mais interessante é a última, da semana 3 e é super curta. Poderia ter sido estendida em detrimento de algumas partes que se repetem muito do início.

By Pedro L

Jul 31, 2017

I had some problems with the last part of this course (when we were getting started with Hadoop), and I didn´t see anything to help solving those problems.


Nov 22, 2020

Faltó detallar en qué consistía una máquina virtual y ofrecer el comando para desactivar el safe mode, tuve que investigar para completar la última tarea.

By Sylvain T

Jul 30, 2016

So much better than in the first version of the specialization! the peer reviewed project is a welcome addition to help understanding map reduce concepts

By Balaji

May 27, 2018

The steps provided are good. Practical way of teaching. The course navigation links are sometime confusing. it does not start from where you had paused.

By Darren

Nov 15, 2017

This is is a very fundamental course. It tells me a big picture of what is Hadoop and how it is applied. But only the course of last week is new to me.

By Christoph H

Oct 27, 2017

Good course, I know it's only the intro, but I would have liked some more hands-on exercises. Most of the course consists of watching videos.

Thank you!

By Tamoghna M

Jun 30, 2017

It was a very informative experience on basics of big data management. However, it would be better to have more challenging questions and assignments.

By Pranav G

Sep 1, 2022

I am very glad to do this course with the help of my faculty members. This course was useful in explaining about Hadoop system and its architecture.