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

4.6
stars
10,792 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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By Tan L Y C

Jul 8, 2020

solid

By Krishnapriya

Jun 15, 2020

super

By David D

May 13, 2020

great

By Mohammad S k

May 7, 2020

super

By MOHAN R D 1

May 5, 2020

Super

By MD S H

May 1, 2020

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By AMEEN A

Apr 4, 2019

Great

By Aaron M

Nov 1, 2017

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Oct 22, 2017

great

By Faraz

Sep 15, 2017

Great

By Nguyen N T A

Jul 3, 2017

Good!

By Hamada I M

Mar 19, 2017

Great

By Eunsuk K

Feb 2, 2017

Nice!

By Aryan S

Nov 4, 2016

Great

By Sharath M V

May 24, 2023

good

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Mar 3, 2023

good

By Керимбаева А Т

Nov 20, 2022

cool

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May 8, 2022

good

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Jan 31, 2022

nice

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Jan 22, 2022

nice

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Dec 21, 2021

good

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Nov 15, 2021

good

By Sharjeel K

Aug 17, 2021

BEST

By Monika

Jul 30, 2021

GOOD

By Akshatha N

Jun 13, 2021

hing