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Voltar para Introdução a Big Data

Comentários e feedback de alunos de Introdução a Big Data da instituição Universidade da Califórnia, San Diego

4.6
estrelas
10,507 classificações

Sobre o 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+....

Melhores avaliações

HM

8 de set 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.

DK

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.

Filtrar por:

2301 — 2325 de 2,406 Avaliações para o Introdução a Big Data

por WEIXUAN H

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28 de nov de 2018

to many high level concepts but lack of real examples

por Manuel

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17 de dez de 2017

Too generic and high-level, not a lot of learning

por Yajuvendra P

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9 de mar de 2017

No technical support is provided for VM issues.

por Karen H

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28 de mai de 2021

I spent tons of time to solve centos issues

por Congcong Z

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26 de out de 2017

well explained landscape of data science

por Maria G

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16 de fev de 2017

Solo videos con conceptos. Poco Hands-on

por Daniel A D

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8 de abr de 2018

Good information but not very hands-on.

por Camilo P T

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28 de nov de 2018

basico y sencillo. Ideal para iniciar

por Gagan D S

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8 de abr de 2020

Good to start from Basic. Love it

por SERGEI S

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12 de jul de 2017

it is so simple, but informative

por YUVARANI P 2 C A

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4 de ago de 2020

It is very easy to understand

por Franciszek G

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22 de out de 2018

Too little technical aspects.

por Bhawna B

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23 de ago de 2017

need to give more assignments

por Alexander H

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10 de nov de 2018

More hands on would be good

por YongDeuk C

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20 de nov de 2016

it's too much basic stuffs.

por Aditya A

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26 de fev de 2021

Add more hands on sessions

por Alvaro M

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18 de set de 2017

Booooooooorinnnnggggg

por Irfan S

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11 de set de 2017

Its very basic course

por Shivraj J

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19 de dez de 2016

Basic info covered.

por Roman N

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4 de nov de 2016

too philosophical

por Toti S

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8 de jan de 2019

Very theoretical

por Alex B

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18 de fev de 2017

Quite shallow...

por Ravi

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14 de nov de 2017

Lot of talking.

por Deleted A

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17 de mar de 2017

Not good enough

por Marcelo G D L

•

12 de mai de 2020

A bit outdated

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