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

4.6
stars
10,918 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 9, 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.

RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

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2051 - 2075 of 2,488 Reviews for Introduction to Big Data

By Jhon F B L

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Apr 19, 2021

Very interesting course. Great to get started with hadoop ecosystem

By Daniel L

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Sep 2, 2020

great course, although audio tends to be soft in the starting week.

By Santiago L E

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Nov 4, 2019

Sirve para entender el Big Data de manera teorica y muy muy básico.

By Gabriel S

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Oct 21, 2019

Couls have a little more hands on training material with Hadoop VM.

By Константин К

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Feb 9, 2018

Good foundations and delivering general idea of how MapReduce works

By Nathan B

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Jul 20, 2022

It's very informative, but it ends with a peer-reviewed worksheet.

By ASHUTOSH K

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Jul 19, 2021

Best course for beginners on Big Data. Loved studying this course!

By SG

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Aug 14, 2018

Wonderful course.. Has got me off to a great start about Big Data.

By Radhika

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Jan 3, 2018

Installation of hadoop on vm from scratch should be explained too.

By Lang Y

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Oct 26, 2017

A little too general except for last part that talks about Hadoop.

By Jonathas M

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Aug 8, 2016

Excellent for a introduction course. More exercises would be nice.

By Mrutyunjaya S Y

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May 13, 2020

Very Informative and hands on programming is too good to practice

By Alexander A

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Dec 26, 2019

More practical examples with Hadoop environment would be helpful.

By Shuai M

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Dec 23, 2018

good starting course for knowing the 3 main types of data source.

By Ronald M

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May 1, 2017

Some quiz have some bad wording which make it hard to understand.

By Marwan E M

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Mar 23, 2018

Nice course especially for beginners without a prior knowledge.

By Keerthi V

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May 25, 2020

i got a good knowledge about the big data in our growing world

By Nitesh R

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May 20, 2019

Course structure is great and its easy to learn for beginners.

By Xiaotong ( C

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Jul 25, 2018

Pretty easy, but necessary knowledge for beginners in big data

By Yunzhe F

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Jan 2, 2018

If the contain could be more brief that would be really great.

By Nikhar M

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Aug 8, 2024

nice but need to include more technical informative lectures.

By Divya S

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Oct 22, 2020

Absolutely amazing this is my first certification in coursera

By Martin L

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Jun 27, 2016

A good orientation class to level set key terms and concepts.

By LECHIAKH M

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Nov 8, 2018

interesting course and efficient pedagogic method to teach !

By Ravi C

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Sep 14, 2017

Video quality could be more crisper. Content is good though