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

4.6
stars
9,637 ratings
2,274 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 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.

RG
Jul 13, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

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2076 - 2100 of 2,207 Reviews for Introduction to Big Data

By Tushar S

Sep 15, 2016

I'd recommend this course be taken as audit. Doesn't add specific value to your skill set! But, it's good to know :-)

By Sukanta C

Aug 7, 2020

Very long lectures. Can be short with more examples. Felt too many jargons in the very beginning of the course

By Stefano F

Jul 21, 2020

I was hoping for something more in depth but if you don't have any basic knowledge this course is right for you

By Damien G

Jun 1, 2018

A lot of theory, at a quite slow rate. I hope we will go deeper in the following courses of the specialization.

By Sara M

Nov 23, 2020

Great for basics, but needs to be updated. So much of the material was from 2013-2015 and cites "by 2020..."

By Krishan G

Nov 4, 2020

Data presented are bit old. The newest data and trends will help specially for highly changing technologies.

By Pana A

Oct 18, 2018

Too slow and broad for technical guys. Ok if you have really no idea what is big data or the concept behind

By Francisco J H

Aug 20, 2019

It was very elementary and buisness oriented concepts. I was expecting more content on technical aspects.

By Byron F

Apr 27, 2020

I suggest to have best support of the technical exercises. It is difficult if you do not have experience

By Li J

Dec 20, 2018

thanks for the efforts of making this class, but I feel like the first 3/4 of the contents are tedious.

By Nesrine E

Oct 23, 2016

Good introduction to big data. I would prefer that the hadoop lesson have more practical exercices;

By André F

Aug 27, 2017

Should spend more time explaining the commands in hadoop and also have more practical exercises

By Emily C

Jul 5, 2017

Good course, but peer-reviewed assignments make it difficult to learn from feedback.

By Gabriel E

Mar 22, 2017

Good course if you do not have any idea about Big Data and the technology used.

By akhil r k

Sep 16, 2016

It's a good introduction, but more optional hadoop exercises can be added.

By Fernando A S G

Jun 14, 2017

A good summary about big data basics. Well structured. Very good course!

By Nadeem

Jan 4, 2017

It would be good if more explanation and more examples are demonstrated.

By Patil S S S

Oct 18, 2020

mostly everything was theoretical , much practical knowledge was needed

By Ankit R

Jun 30, 2020

only theoretical knowledge, no practical use is shown in implementation

By Panumate C

Dec 15, 2020

not enough technical contents and too easy

Anyway, thank you very much

By Deleted A

Mar 5, 2019

The audio quality is so bad in the videos - it's really distracting.

By Amir K

Aug 4, 2016

Only skims the surface of Big Data, even for an introduction course.

By Manik S

Aug 11, 2019

Very easy. Videos are too slow, almost felt like a waste of time

By SUJANA C

Dec 27, 2016

The classes could have been delivered by creating more interest.

By Swati T

Sep 20, 2017

Was good foundational course. week 3 was most important for me