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

4.6
stars
10,976 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

VJ

Oct 26, 2020

Hadoop commands were from the old version whereas there are new versions command also there however the content of the course was very much interactive and interesting and made the learning easy.

JM

Jun 28, 2021

Great Introduction to Big Data. I did not realize how important it is for different expertise to come together in order to draw meaningful value from the data. It is not only a programmers world.

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1676 - 1700 of 2,498 Reviews for Introduction to Big Data

By ye w

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Mar 5, 2020

讲的非常细致

By Luis F S A

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Apr 22, 2017

Great!

By Márcio R

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Feb 14, 2017

great!

By Drumil v

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Apr 7, 2024

good.

By Айнабаев А М

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Oct 14, 2022

Good

By РЗАХАНОВ Д М

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Nov 11, 2021

Great

By SH K

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Oct 12, 2021

Great

By CS M L

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Feb 3, 2021

great

By Cyubahiro T

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Nov 9, 2020

great

By Soumyajit M

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Oct 12, 2020

great

By MD. A S

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Aug 30, 2020

Great

By rahul s

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Aug 13, 2020

Great

By gaurav k

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Jul 8, 2020

great

By Tan L Y C

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Jul 8, 2020

solid

By Krishnapriya

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Jun 15, 2020

super

By David D

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May 13, 2020

great

By Mohammad S k

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May 7, 2020

super

By MOHAN R D 1

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May 5, 2020

Super

By MD S H

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May 1, 2020

Great

By AMEEN A

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Apr 4, 2019

Great

By Aaron M

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Nov 1, 2017

Great

By shimaa a a

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Oct 22, 2017

great

By Faraz

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Sep 15, 2017

Great

By Nguyen N T A

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Jul 3, 2017

Good!

By Hamada I M

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Mar 19, 2017

Great