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

4.6
stars
10,803 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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751 - 775 of 2,464 Reviews for Introduction to Big Data

By Mark M

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Feb 16, 2017

Overall, a good overview for Hadoop, Mapreduce and big data concepts

By Giovani D P

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Aug 16, 2016

I liked it, a lot of concepts for who is begining in the big data :)

By Richa c

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Oct 6, 2020

Great course but could have given more information on cloudera VM .

By Dr. N K

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Aug 8, 2020

Easy to understand the concept of Big data and it's sorting process

By João D

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Jun 28, 2020

Great introductory material to learn hadoop and big data from zero.

By Vinay G

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Apr 11, 2020

This was very informative for the basic student to learn about this

By Anita E

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Dec 4, 2019

Great course to gain some familiarity with basic Big Data concepts.

By Alexander P

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Sep 19, 2019

It was very useful to me as the first look on hadoop. Will go on :)

By Mikhail G

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Feb 1, 2018

very good background, explaining both technical and business sides.

By Ankit C

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Jun 5, 2017

Its a nice course to build the foundation in the field of Big Data.

By Damien G P

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Nov 2, 2016

Good Course! An accreditation like the others mooc should be there!

By Дүйсенбай А Т

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Oct 12, 2020

I really like this course. Thank you for such helpful information.

By Dhairya T

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Jul 23, 2020

very thorough explanations and programming methods for beginners !

By Dhananjoy D

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May 22, 2020

This course helps me a lot to develop my KNOWLEDGE about Big Data.

By ANDRES F G L

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Apr 29, 2020

Very helpful and clear about the concepts it shares. Thanks a lot!

By Ananya K

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Mar 22, 2020

Excellent introductory course for the world of Big data analytics.

By Babar B

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Jul 20, 2019

A perfect introductory course for beginners in the big data field.

By Sergio A

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Aug 13, 2017

A course pretty helpful for people that is starting with Big Data.

By Puneet M

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Sep 22, 2016

Completely Worth it , best mentors , Guides .Awesome Explanation .

By David G

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Jan 19, 2021

Great course, I enjoyed the hands on learning, it helped me a lot

By RANASINGHE A I U R

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Dec 21, 2020

The course is really helpful in getting a clear idea on big data,

By Rajan K

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Sep 29, 2020

I have learned something new, very well explained by the speaker.

By SHOBHIT D

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May 28, 2020

This course is awesome it will help so much to groom my knowledge

By Raji S

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May 13, 2020

Iam really Thankful to leccturears for crystal clear explanations

By NAVAKEERTHANA P

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May 8, 2020

Excellent course.Learned a lot of new information about big data.