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

4.6
stars
10,991 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

EA

Aug 30, 2020

The course was perfect until the Hadoop part. Especially because I couldn't install it in my computer following all instructions and I have no idea even how to fix it. It's also a bit outdated.

SS

Sep 14, 2019

It is a comprehensive introduction to big data which covers significant components with enough content that can be absorb at this stage. A very good kick-start and excited for the next course ahead.

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1601 - 1625 of 2,500 Reviews for Introduction to Big Data

By EDITH A F M

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Jun 8, 2022

Excelente

By Abul B

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Apr 13, 2022

Excellent

By Seshachalam A

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Jan 19, 2022

Exemplary

By PUTRI H H

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Dec 3, 2021

thank you

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Dec 1, 2021

Thank you

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Nov 29, 2021

Excellent

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Sep 12, 2021

excellent

By Saad S

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Aug 22, 2021

Good one

By KOUSHIK B

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Aug 16, 2021

excellent

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Aug 3, 2021

Excellent

By Rolando M

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Jul 4, 2021

excelente

By Dr. S N B

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May 22, 2021

Excellent

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Dec 22, 2020

Very good

By Diego Z

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Dec 14, 2020

muy bueno

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Oct 14, 2020

Muy bueno

By Phaneendra K

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Aug 11, 2020

Excellent

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Jul 23, 2020

Excellent

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Jul 9, 2020

very good

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Jul 5, 2020

Excellent

By E1437

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Jul 4, 2020

Excellent

By SASI V T

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Jul 4, 2020

EXCELLENT

By Kamlesh C

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Jun 24, 2020

Thank you

By Hend S

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Jun 18, 2020

Thank you

By JAMUNARANI D

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Jun 12, 2020

Excellent

By AKILA S

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Jun 6, 2020

Very good