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

4.6
stars
10,952 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鈥檚 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 鈥淎bout This Mac.鈥� 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 9, 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.

JT

Aug 31, 2016

This is a great introduction for Big Data. It helps me to revisit what I learned from the meetups and webinars, then put the fundamental knowledge and information in a solid foundation. Thank you.

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2226 - 2250 of 2,494 Reviews for Introduction to Big Data

By Dong D P

鈥�

Mar 15, 2017

Good for beginner

By Hector J D

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Feb 6, 2017

Good Introduction

By Jean-Francois B

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Sep 24, 2020

Very interesting

By Harpreet K G

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Sep 14, 2020

very informative

By LAVANYA S B

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May 20, 2020

more informative

By ahmed s

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Apr 7, 2020

good inforamtion

By Navneet K D

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Mar 25, 2019

Very Theoretical

By Gitesh W

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Feb 13, 2019

very nice course

By Rafael U

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Sep 3, 2017

Excelent course!

By Stark

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Oct 14, 2016

Very basic info.

By vaishnavi S M

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Sep 17, 2020

it is excellent

By Sorgo W C

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May 30, 2020

EXELLENTS COURS

By touzani y

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Jun 25, 2019

Excelent course

By Piyush T

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Dec 6, 2018

too much theory

By Deleted A

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Jun 20, 2018

Too much theory

By Jerome T B

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Feb 22, 2021

c'etais wahouu

By rajavardhan s

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Jan 26, 2018

course is good

By MUYIDEEN S

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Nov 20, 2017

Very educative

By goutham

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Mar 17, 2017

good lectures.

By Vidyamadhuri R S

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Oct 23, 2020

good learning

By Y. S g

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Jul 12, 2020

Good Teaching

By Sayak N

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Dec 24, 2019

Very helpful.

By Suman S

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Sep 27, 2018

Interesting..

By Saksham S

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Aug 6, 2017

Way too easy.

By Haroon A

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Oct 17, 2016

great so far.