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

4.6
stars
10,974 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

SS

Sep 14, 2019

It is a comprehensive introduction to big data which covers significant components with enough content that can be absorb at this stage. A very good kick-start and excited for the next course ahead.

AR

Mar 30, 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.

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2251 - 2275 of 2,498 Reviews for Introduction to Big Data

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 16, 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 9, 2020

Interesting!

By Chintamani B

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Dec 20, 2018

Very useful.

By Polla T

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Sep 5, 2017

It was good.

By Anto T

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Mar 27, 2017

Great Intro.

By Natasha I

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Nov 29, 2020

Good course

By Raul s

•

Nov 17, 2020

Nice course

By Riccardo C

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May 26, 2020

Good Start!

By Sarif S

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Apr 29, 2023

ggoodggood

By Deepak P

•

Aug 4, 2020

gr8 course

By nikhil n

•

Aug 13, 2016

Too Good..

By Kris H

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Jun 22, 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

•

Jun 4, 2019

liked it.

By Tarun T

•

Jul 29, 2017

Very Good

By Monisha G

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Jul 6, 2017

Excellent

By Yugesh K

•

Jul 10, 2020

its good

By Deleted A

•

Jan 18, 2023

Helpful