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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.

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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1626 - 1650 of 2,495 Reviews for Introduction to Big Data

By Nikhat F M H S

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Jun 3, 2020

Excellent

By RAHUL S K

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May 24, 2020

excellent

By Daniel T

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May 7, 2020

Excellent

By sanjiv k j

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May 3, 2020

very nice

By BHARATBHUSHAN K

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May 17, 2019

excellent

By Keihan K

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Jan 3, 2019

awesome!!

By Jos茅 G d A L N

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Oct 28, 2018

Excelente

By Anup K M

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Apr 22, 2018

very good

By Shankar G

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Apr 13, 2018

Excellent

By 小泻芯褉芯写褍屑芯胁 肖 袛

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Mar 14, 2018

GOD LIKE!

By Abhishek K

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Feb 24, 2018

very nice

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Jan 29, 2018

very good

By Michael J R

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Dec 31, 2017

Excellent

By Rodrigo C

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Dec 15, 2017

Fantastic

By priyank b

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Oct 27, 2017

Excellent

By Alejandro D Y

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Jul 13, 2017

Fantastic

By Ronaldo E

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Jun 20, 2017

Excelent.

By ramit k

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May 1, 2017

Excellent

By Mostafa M E

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Apr 9, 2017

very good

By Abdulaleem M

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Mar 24, 2017

excellent

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Mar 15, 2017

Very Good

By Ashutosh K

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Feb 26, 2017

fantastic

By Venkat R M

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Dec 23, 2016

Very good

By Cefranlly A P C

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Sep 24, 2016

Excelent!

By Karthik B

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Aug 30, 2016

Excellent