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

4.6
stars
8,924 ratings
2,131 reviews

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

HM

Sep 09, 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.

PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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1976 - 2000 of 2,064 Reviews for Introduction to Big Data

By Congcong Z

Oct 26, 2017

well explained landscape of data science

By Maria G

Feb 16, 2017

Solo videos con conceptos. Poco Hands-on

By Daniel A D

Apr 08, 2018

Good information but not very hands-on.

By Camilo P T

Nov 29, 2018

basico y sencillo. Ideal para iniciar

By Gagan D S

Apr 08, 2020

Good to start from Basic. Love it

By Sergii S

Jul 12, 2017

it is so simple, but informative

By Yuvarani.P

Aug 04, 2020

It is very easy to understand

By Franciszek G

Oct 22, 2018

Too little technical aspects.

By Bhawna B

Aug 23, 2017

need to give more assignments

By Alexander H

Nov 10, 2018

More hands on would be good

By YongDeuk C

Nov 21, 2016

it's too much basic stuffs.

By Alvaro M

Sep 18, 2017

Booooooooorinnnnggggg

By Irfan S

Sep 11, 2017

Its very basic course

By Shivraj J

Dec 19, 2016

Basic info covered.

By Roman N

Nov 04, 2016

too philosophical

By Jordi S C

Jan 08, 2019

Very theoretical

By Alex B

Feb 19, 2017

Quite shallow...

By Ravi

Nov 14, 2017

Lot of talking.

By Deleted A

Mar 17, 2017

Not good enough

By Marcelo G D L

May 12, 2020

A bit outdated

By Lakshmi M

Oct 06, 2017

Good overview

By Manoj S

Oct 29, 2017

Pretty basic

By Sanjay

May 12, 2018

nice one

By Safoora

Feb 06, 2018

Good st

By Raizza S d S

Jul 15, 2020

I had quite some high expectations for this course however Week 1 videos were already such a turn-off. The videos were so slow-paced that it actually became just like a lecture at uni (boring). However, at first, the content was indeed interesting for Big Data introduction. The first quiz was horrible. It was so hard, half of the questions had nothing to do with the content (in my opinion). I had to research the subjects on another websites as I honestly did not see half of them on the videos. All other tests were more reliable to what was previously learned. But the part that made me more upset was having to download and install 2 applications (this was not explicit on the programme) for the final assessment understanding and answering a 2-question quiz in which one of these applications had FOUR GBs to be downloaded. Up to this point, I did download the file. Overall I do not recommend this course to anyone. Reasons are clear: the "sluggishness" of the videos and presenter and the final/ultimate 4GB gift. They should create an online environment for this task/application. I do give a star for the assessment where we had to create a presentation of how MapReduce works. I liked that interactivity.