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

4.6
stars
10,981 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

PA

Feb 10, 2018

The software which is to be installed in order to do the assignment of this course must be provided in cloud or other alternatives will be provided so that each person with 4 GB Ram can install.

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.

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2201 - 2225 of 2,500 Reviews for Introduction to Big Data

By Rajendra O

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Jan 23, 2017

Nice to get this course.

By Vivek K S

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Sep 29, 2016

excellent for beginneres

By DEEP S

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Sep 19, 2020

Very interesting course

By Vishwas H

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Jun 25, 2020

Good start to Big Data!

By Yashwant J

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May 23, 2020

Great intro to BIg Data

By kimizhu

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May 14, 2017

it great to start with.

By Indunil D

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Jan 17, 2017

very good introduction.

By PAULO A A D M

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Sep 27, 2022

excelente capacitação

By Osvaldo D

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Dec 16, 2020

A very nice beginning!

By Minhaz K

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Jun 15, 2020

slides could be better

By Daniyal S

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May 25, 2020

it was best Experience

By David G L

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Mar 16, 2020

I liked this course =)

By Jurassic

•

Oct 12, 2017

Interesting Background

By Khinnyeinmyint

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Aug 9, 2020

I get good knowledge.

By Shraddha s

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Oct 12, 2020

yes...i loved it....

By Mohith

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May 14, 2020

good & easy to learn

By ABEL G

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May 20, 2017

I liked the approach

By Benjamin T

•

Jan 24, 2021

nice interpretation

By Ilyas Z

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May 18, 2020

full of information

By Maneesh C

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Jan 4, 2021

Really good course

By Srenivas.T

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Sep 30, 2020

Good for beginners

By Nguyễn T D

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Jul 8, 2020

Need more examples

By kawaldeep

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Feb 15, 2020

it was very basic.