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

4.6
stars
10,693 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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2151 - 2175 of 2,444 Reviews for Introduction to Big Data

By Waqar A

•

Jul 7, 2020

Really good for beginners

By Oleksandr L

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Mar 25, 2018

Good overview for as a st

By Franklin D L C

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Oct 9, 2017

Very Informative course!!

By Sujith K V

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Mar 9, 2017

Good Starter for Big Data

By Danny A A

•

Nov 7, 2020

Very interesting, thanks

By Rajendra O

•

Jan 24, 2017

Nice to get this course.

By VIVEK K S

•

Sep 29, 2016

excellent for beginneres

By DEEP S

•

Sep 19, 2020

Very interesting course

By Vishwas H

•

Jun 25, 2020

Good start to Big Data!

By Yashwant J

•

May 24, 2020

Great intro to BIg Data

By kimizhu

•

May 14, 2017

it great to start with.

By Indunil D

•

Jan 18, 2017

very good introduction.

By PAULO A A D M

•

Sep 27, 2022

excelente capacitação

By Osvaldo D

•

Dec 16, 2020

A very nice beginning!

By Minhaz K

•

Jun 15, 2020

slides could be better

By Daniyal S

•

May 25, 2020

it was best Experience

By David G L

•

Mar 16, 2020

I liked this course =)

By Jurassic

•

Oct 13, 2017

Interesting Background

By Khinnyeinmyint

•

Aug 9, 2020

I get good knowledge.

By Shraddha s

•

Oct 12, 2020

yes...i loved it....

By Mohith

•

May 14, 2020

good & easy to learn

By Abel G

•

May 20, 2017

I liked the approach

By mario p

•

Sep 25, 2016

A great introduction

By Benjamin T

•

Jan 24, 2021

nice interpretation

By Ilyas Z

•

May 18, 2020

full of information

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