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

4.6
stars
11,003 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

AR

Mar 31, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

IS

May 18, 2020

Following this course enables me to gain a vast knowledge on basic big data domain.Quality content and 100% clear explanation made me so enthusiastic to learn this module.Tutors are pretty cool !

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2251 - 2275 of 2,500 Reviews for Introduction to Big Data

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.

By KOLU R

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Oct 19, 2022

nice cource

By Julia D

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Jun 15, 2022

Good course.

By Arun K S N

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Aug 10, 2020

Interesting!

By Chintamani B

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Dec 21, 2018

Very useful.

By Polla T

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Sep 5, 2017

It was good.

By Anto T

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Mar 28, 2017

Great Intro.

By Natasha I

•

Nov 29, 2020

Good course

By Raul s

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Nov 17, 2020

Nice course

By Riccardo C

•

May 27, 2020

Good Start!

By Sarif S

•

Apr 29, 2023

ggoodggood

By Deepak P

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Aug 4, 2020

gr8 course

By nikhil n

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Aug 14, 2016

Too Good..

By Kris H

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Jun 23, 2016

Good intro

By Aniket D

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Sep 13, 2020

thank you

By Kumara S

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Jul 14, 2020

Excellent

By Srimathi. S

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Jun 20, 2020

Excellent

By Surbhi P

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Jun 5, 2019

liked it.

By Tarun T

•

Jul 30, 2017

Very Good

By Monisha G

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Jul 7, 2017

Excellent

By Yugesh K

•

Jul 10, 2020

its good