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

4.6
stars
10,975 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

IS

May 17, 2020

Following this course enables me to gain a vast knowledge on basic big data domain.Quality content and 100% clear explanation made me so enthusiastic to learn this module.Tutors are pretty cool !

KN

Jun 1, 2020

This is a great course. I learnt a lot from this course. What I like about this course is the hands-on experience with Hadoop. Such a good add-on on our skill, instead of just theoretical learning.

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By RASHMITHA R

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May 11, 2020

Good

By JYOTI S C

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May 11, 2020

good

By Ms.S.Anitha J

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May 11, 2020

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By MRS. S S

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May 8, 2020

GOOD

By Aryan S

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May 7, 2020

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By Asst.Prof., C V T C

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May 4, 2020

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Apr 21, 2020

good

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Apr 13, 2020

good

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Feb 24, 2020

nice

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Apr 8, 2019

nice

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Feb 13, 2019

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By Chandra M R K

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Dec 17, 2018

good

By Ronald S

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Jan 16, 2017

Very

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Jun 30, 2016

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Apr 20, 2024

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Sep 14, 2022

ok

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Jun 4, 2021

4.6

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Oct 11, 2020

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May 24, 2020

nil

By Hongyang Y

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Feb 7, 2018

神课！

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Oct 16, 2016

Exc

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Jan 14, 2021

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Jun 9, 2020

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