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

4.6
stars
10,928 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.

RG

Jul 13, 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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2476 - 2489 of 2,489 Reviews for Introduction to Big Data

By 佟铁

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Mar 6, 2018

Sorry, I cant learning all classes. The terrible PPT, rigid teaching methods

By Song T C

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Nov 15, 2022

very easy. most of stuffs are obvious and there is no real project!.

By Carolay S

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Dec 11, 2016

Me estan cobrando el curso y se supone que me salia todo gratis

By Laurent S

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Feb 10, 2019

I have rarely seen a course that is so terrible

By VISHAL G

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May 28, 2020

i didnot find it useful and it is too boring

By anup k

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Oct 7, 2016

Language is not good, and Lack of Info

By Darian H

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Nov 17, 2017

The final quiz for Week 3 is broken.

By Wei G

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May 8, 2022

There is no certificate. Why?

By Paula N

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Mar 9, 2021

NO ME DEJA DARME DE BAJA

By Cosmin T

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Jun 4, 2019

very weak presentation

By Jasurbek A

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Nov 5, 2024

Very poor quality...

By SURYANSHU

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Sep 13, 2021

thanks ok done

By Roshan K

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May 31, 2017

Its too slow

By Jianan D

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Oct 25, 2017

too easy