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Opiniones y comentarios de aprendices correspondientes a Introduction to Big Data por parte de Universidad de California en San Diego

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Acerca del Curso

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+....

Principales reseñas


8 de sep. de 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.


11 de ago. de 2021

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.

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2201 - 2225 de 2,440 revisiones para Introduction to Big Data

por goutham

16 de mar. de 2017

good lectures.

por Vidyamadhuri R S

23 de oct. de 2020

good learning

por Y. S g

12 de jul. de 2020

Good Teaching

por Sayak N

24 de dic. de 2019

Very helpful.

por Suman S

27 de sep. de 2018


por Saksham S

6 de ago. de 2017

Way too easy.

por Haroon A

16 de oct. de 2016

great so far.

por KOLU R

19 de oct. de 2022

nice cource

por Yuliia Z

15 de jun. de 2022

Good course.

por Arun K S N

9 de ago. de 2020


por Chintamani B

20 de dic. de 2018

Very useful.

por Polla T

5 de sep. de 2017

It was good.

por Anto T

27 de mar. de 2017

Great Intro.

por Natasha I

29 de nov. de 2020

Good course

por Raul s

17 de nov. de 2020

Nice course

por Riccardo C

26 de may. de 2020

Good Start!

por Deepak P

4 de ago. de 2020

gr8 course

por nikhil n

13 de ago. de 2016

Too Good..

por Kris H

22 de jun. de 2016

Good intro

por Aniket D

13 de sep. de 2020

thank you

por Kumara S

14 de jul. de 2020


por Srimathi. S

20 de jun. de 2020


por surbhi p

4 de jun. de 2019

liked it.

por Tarun T

29 de jul. de 2017

Very Good

por Monisha M

6 de jul. de 2017