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

4.6
stars
10,878 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

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.

DK

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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2001 - 2025 of 2,480 Reviews for Introduction to Big Data

By mike d

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Apr 26, 2018

Dr. Altıntaş' presentation is rather choppy at first, but gets better after week 1.

By VICTOR S

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Jun 17, 2020

It's a great introduction to the big data. That's improve my vision about the area

By Madhu M

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May 31, 2020

A good introduction given for all basics of big data. clearly explained all topics

By SAYANTAN B

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May 15, 2020

The explanation and elaboration of the coding part is very good and very helpfull.

By Gopesh T

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Jan 21, 2017

I learnt basic of Big Data, exicited to dive deeper.Very informative and engaging

By César Á

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Oct 21, 2022

Excellent course but it needs an update on some topics, except for that 5 stars

By Md. M Z

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Dec 9, 2017

I really enjoyed the course and learned a lot but contents could be much better.

By Amit T

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Feb 27, 2017

Would love to have more practical hands on exersizes and examples of map reduce.

By Tatiana M

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Sep 18, 2016

Engaging and challenging, this course was an excellent introduction to Big Data!

By Pawinee

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Nov 29, 2017

It is good introduction to Big data.

And would be great if having more hands-on.

By Pablo M G

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Dec 20, 2016

Very good introduction to the field. Not too complex, so a good starting point.

By Muhammad A

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Aug 28, 2016

Course was good. I had issue to configure virtual machine . but it worked now .

By Jialin Z

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Apr 7, 2020

Easy to follow even for beginners. Hands on practicing with Hadoop in the end.

By Akshay P

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Mar 26, 2020

The installation of VM part was pain. Otherwise, good introduction to big data

By Curt W

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May 6, 2018

I loved the hands on experience with running the hadoop on my laptop using VM.

By Prakul A

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Sep 18, 2019

An excellent introductory course in Big data and its real world applications.

By Isaac L L T

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Aug 14, 2020

The introduction was way longer than I expected but the week 3 was the best.

By Suchitha K

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Jun 2, 2018

Nice course to kick start ! More assignments can be added programming side !

By Maryam B

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Dec 19, 2017

the answers of questions are not clear.

i confuse between 2 or more selection

By Taresh T

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Apr 1, 2017

It is an introductory course. So it does not include much about the subject.

By Swaraj S

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May 15, 2021

Really Course i have learn the basics of the big data analysis through this

By Pavlo H

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Oct 20, 2020

As for me, a useful course for an initial notion of the BigData processing

By David W

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Jun 27, 2017

Great introduction course to get some fundamental knowledge about Big data

By Kalyani S

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Jul 24, 2017

It was very detailed and easy to follow. Liked the pace as well very much

By Manthan R

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Jun 2, 2020

Great introductory course. Along with a little hands-on zest at the end.