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

4.6
stars
10,976 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

VG

Mar 26, 2018

Excellent learning opportunity to the concepts of Big Data and about the Hadoop ecosystem. Overall a wonderful learning experience with hands-on to get practical knowledge on the concepts learnt

AR

Mar 31, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

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1651 - 1675 of 2,498 Reviews for Introduction to Big Data

By Karthik B

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Aug 30, 2016

Excellent

By Pedro D

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Aug 12, 2016

Excelente

By Jhonatan D S

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Jul 31, 2023

Excelent

By Paula X S L

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May 11, 2022

ok super

By Manjushree r k

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Nov 22, 2021

its good

By Yassine A R

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Jun 9, 2020

helpfull

By Desu G S S

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Jun 7, 2020

Too good

By SHAKTHI S

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May 30, 2020

Well gud

By novan z

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Aug 23, 2019

The Best

By subash k p

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Jun 6, 2017

Xcellent

By Ravi R

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Mar 27, 2017

good one

By Frank C

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Dec 21, 2016

Perfect!

By Getalew C

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Jan 27, 2022

perfect

By Mulilkin D

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Jan 28, 2021

Userful

By ADALBER C L

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Sep 27, 2020

Gracias

By Flt L G R

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Jun 11, 2020

THANKS.

By Shubhayu C

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Jun 4, 2020

amazing

By Zakaria E

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May 22, 2020

awesome

By Arash R

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Feb 28, 2020

Awesome

By Chetan N

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May 26, 2019

AMAZING

By Sakshi S

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Jan 20, 2018

awesome

By Amith S M

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Feb 9, 2017

Amazing

By seelammal

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Jan 7, 2022

useful

By 袧褍褉卸邪薪 袨

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Oct 10, 2021

谢褍褔褕懈泄

By JUAN D B C

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Mar 21, 2021

THANKS