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

4.6
stars
10,799 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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1351 - 1375 of 2,462 Reviews for Introduction to Big Data

By Pedro G B

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Apr 5, 2019

Simplemente muy bueno

By Esteban E C

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Aug 28, 2018

Great introduction :D

By Lorie S

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May 25, 2018

Great Introduction...

By Konstantia Z

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Feb 25, 2018

ExceptionalCourse!!!!

By Michel R

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Nov 15, 2017

Perfect introduction.

By David Z

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Jun 13, 2017

very handy and useful

By Shan N

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Feb 22, 2017

great for beginners..

By An D

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Feb 13, 2017

Excellent! Thank you!

By Francisco J T

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Feb 13, 2017

¡Excelent, I like It!

By Ravi K

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Nov 10, 2016

Well designed course.

By Dawit H

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Oct 8, 2016

Really amazing course

By 李欣

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Jul 8, 2016

看了之后，对大数据相关会有一个整体的理解。

By Anna M

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Jun 15, 2016

Great course. Thanks.

By Panagiotis K

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Nov 26, 2020

An excelent course!!

By S. S

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Sep 22, 2020

I enjoy the coursera

By Bud P

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Aug 24, 2020

useful and practical

By Deleted A

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May 14, 2020

It's great. Thank u!

By Pavithra

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May 13, 2020

improve my knowledge

By Joel F

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Jun 28, 2019

Amazing lectures!!!!

By kundan k

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Apr 4, 2018

Nice course

thank you

By Prabu

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Feb 28, 2018

Excellent in detail.

By claudi q c

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Feb 28, 2018

Very well explained!

By Antony L

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Dec 30, 2017

Very Nicely laid out

By Husnain A

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Oct 26, 2017

Very well structured

By Nayyer M

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Apr 30, 2023

was v well designed