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

4.6
stars
11,000 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

PB

May 24, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.Very smooth learning experience.

JT

Aug 30, 2016

This is a great introduction for Big Data. It helps me to revisit what I learned from the meetups and webinars, then put the fundamental knowledge and information in a solid foundation. Thank you.

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By N S

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May 14, 2020

Good

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

Good

By MRS. S S

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May 8, 2020

GOOD

By Aryan S

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May 7, 2020

Good

By Asst.Prof., C V T C

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May 4, 2020

Good

By Dr. M E

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Apr 21, 2020

good

By Jayapratha J

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Apr 13, 2020

good

By Aditee S

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Feb 24, 2020

nice

By M N K

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Apr 8, 2019

nice

By NIVEDHITHA M

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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

By Enrique G R

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Jun 30, 2016

Good

By Mohamed K

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Apr 20, 2024

top

By Gella A P

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Sep 14, 2022

ok

By Mohamed E

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Jun 4, 2021

4.6

By Aymen Y

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Oct 11, 2020

top

By Pavithra M

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May 24, 2020

nil

By Hongyang Y

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Feb 7, 2018

神课！

By Marilyn V

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Oct 16, 2016

Exc

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Apr 24, 2025

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Aug 8, 2024

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By GIANETTO L

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Jan 14, 2021

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