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

4.6
stars
10,801 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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1376 - 1400 of 2,464 Reviews for Introduction to Big Data

By Nayyer M

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Apr 30, 2023

was v well designed

By Arbaz A

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Apr 20, 2022

amazing content :)

By MD. A S

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Nov 21, 2021

very very efective.

By Асылбеков А А ұ

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Dec 19, 2020

Thank you very much

By Majety P

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Jul 26, 2020

Very well explained

By Yulia D

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Jul 13, 2020

Pretty good course.

By Suchir P

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Jul 4, 2020

Great Introduction.

By Harendra K

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Jul 2, 2020

Very useful lecture

By SAI D T

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Jun 8, 2020

Very happy to learn

By Armando A E

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Mar 13, 2020

Great introduction!

By CHANDAN K

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Mar 1, 2019

Nicey introduced to

By Dauren U

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Oct 6, 2018

It was very helpful

By Yusuf M S

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Jan 5, 2018

truly enjoyed it :D

By Daniel M M

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Sep 11, 2017

Complete and funny!

By Bedanga B R M

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Aug 4, 2017

Awesome tutors !!!!

By Plamen V I

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Jul 13, 2017

Realy good course !

By Sahar G

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Jun 11, 2017

Thank you very much

By Yael U

•

May 7, 2017

Great introduction!

By Pearapon S

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Aug 7, 2016

I like this course.

By Sneha B

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Feb 27, 2022

highly informative

By Omar P

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Nov 30, 2021

Great, many thanks

By Aarush N

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Sep 28, 2021

Excellent Coursera

By Andrés F R O

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Oct 16, 2020

Awesome course!!!!

By Rane M S B C

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Aug 29, 2020

It was really good

By Kalyani d B

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Aug 18, 2020

Excellent teaching