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

4.6
stars
10,952 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鈥檚 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 鈥淎bout This Mac.鈥� 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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2151 - 2175 of 2,494 Reviews for Introduction to Big Data

By Aditya J

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Apr 2, 2021

Gives me a basic idea about Big Data.

By Aarti v

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Apr 17, 2020

great course ...had fun learning this

By Edike I P

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Feb 28, 2017

Course Material Was Quite Informative

By Adam P

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May 29, 2018

Nice start to understanding Big Data

By ISLAM K

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Nov 20, 2017

well organized , so much interesting

By V铆ctor C N

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Aug 1, 2018

Should have more hands-on practice.

By shahzaib a

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Aug 12, 2016

Great course with great instructors

By Gourav

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Apr 23, 2018

It was a good introduction course.

By Manuel F

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Apr 3, 2018

Very easy concepts but very well e

By Mohammed E

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Sep 20, 2017

Amazing Introduction to Big Data .

By Stefano C

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Nov 8, 2016

Fun and passion. Expectations met.

By YASH M

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Apr 12, 2021

Excellent course!! Learned a Lot.

By Eklavya S

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Mar 15, 2018

A must for building foundations .

By vasudha m

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Oct 1, 2017

The Hands on exercises were good.

By Nandhini 2

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Feb 4, 2022

A very good course must to learn

By Dr. A C

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Apr 24, 2017

Highly Knowledgeable & learning.

By Muhammad S

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Dec 30, 2021

Interesting and valuable Course

By saurav k

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Jan 21, 2020

content could have been better.

By Reyad E

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Mar 16, 2019

it's awesome course you'll take

By Sujay S

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Aug 17, 2016

Good work! Thanks for educating

By Krutika B

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Oct 10, 2020

nice , cob=vered all the basic

By Harsh O

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Jul 29, 2018

The course was up to the mark.

By Andr茅s F

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Oct 10, 2016

Very very introductory course.

By Sowjanya N

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Jul 9, 2020

Had great learning experience

By sudhanshu p

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Apr 8, 2019

It went slow but worth taking