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

4.6
stars
10,976 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鈥檚 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 鈥淎bout This Mac.鈥� 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

VG

Mar 26, 2018

Excellent learning opportunity to the concepts of Big Data and about the Hadoop ecosystem. Overall a wonderful learning experience with hands-on to get practical knowledge on the concepts learnt

AR

Mar 31, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

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1976 - 2000 of 2,498 Reviews for Introduction to Big Data

By Edward A G

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Jul 10, 2017

The course is excellent, some test are confuse and it is challenge for the time that it requires. Thank you

By Raghavendra P S

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Feb 2, 2018

Good basic introduction, but a few points seem to be missing based on another course I had done previously

By Anja J

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Apr 12, 2025

Good compilation. Wonderful explanation of each topic. Hands-on exercises. Better with fresh statistics.

By Nicolas O I

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Oct 22, 2020

It would be good if you can explain more about the different commands, and also how to search for a word

By Hasan Z

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Jun 12, 2020

it is very good as start point for understanding the high level of the concept of Big Data, thanks a lot

By Cherian M

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Jun 11, 2020

Really great introductory course on data science. Really enjoyed following through the course materials.

By Ximena M

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Jun 19, 2017

A bit out of date when referring to statistics and counts, but very well selected level of information.

By Adam R

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Apr 11, 2020

The installation was out of date but otherwise the presentation was engaging and i really enjoyed it.

By YEVHEN K

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Jan 14, 2018

My expectations were about a bit more practice. But level is "for beginners", so I do not complain :)

By Ma茂mouna G

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Oct 26, 2024

le cours 茅tais g茅nial mais on pourrais am茅liorer la traduction dans d'autre langue comme le fran莽ais

By Talha T

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Jun 7, 2020

The course materials should be updated, including the latest editions of the software and platforms.

By Gabriel T

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Jan 4, 2018

I feel the questions could be better by focusing more towards testing knowledge and skills acquired

By Jason M

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May 23, 2017

I would like the peer review to force feedback so the submitter has an idea of what they did wrong.

By Ripunjay K

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Nov 27, 2019

A good course but there should be provision to interact with the peer who corrected the assignment

By PLN R

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Feb 9, 2018

Pretty good course! Had a nice learning experience! Looking forward to more in the Specialization!

By Ingrid A

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Oct 1, 2024

El curso es bueno pero los visuales y ppts me parecen viejos. Creo que puede hacerse m谩s creativo

By RODRIGO B E

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May 31, 2020

High quality. 4 stars because many people (myself included) had problems to download the program.

By Tonmoy B

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May 30, 2020

This was absolutely amazing... However i feel that the presentation might be a little bit better.

By Uday S

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Oct 16, 2016

Very nice introduction to the core concepts of big data. Gradually introduced you to the concepts

By Michael J

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Nov 27, 2020

I think that is better adding options of Cloudera, I used hortonworks and azure virtual machine

By DIWAAN C C S

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Jul 7, 2020

Just an awesome course. My suggestion is that the ppt could be improved as it is sooooo simple.

By Aravind M

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Aug 4, 2018

A good course for understanding the fundamentals of Big Data, HDFS and concepts like MapReduce.

By Daniel A M

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Sep 6, 2021

Great amount of information and real life examples. Clear and precise explanations. Good job!

By ashutosh k

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Dec 16, 2017

So far it is good to go... still i m perusing 2 more weeks of this course. So left one star.

By Mohamed E T

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Jun 8, 2017

More hand on exercises similar to the one at the end of the course would be very valuable.