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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

10,675 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


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.


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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2151 — 2175 de 2,439 Avaliações para o Introdução a Big Data

por Sujith K V

9 de mar de 2017

Good Starter for Big Data

por Danny A A

7 de nov de 2020

Very interesting, thanks

por Rajendra O

24 de jan de 2017

Nice to get this course.


29 de set de 2016

excellent for beginneres

por DEEP S

19 de set de 2020

Very interesting course

por Vishwas H

25 de jun de 2020

Good start to Big Data!

por Yashwant J

24 de mai de 2020

Great intro to BIg Data

por kimizhu

14 de mai de 2017

it great to start with.

por Indunil D

18 de jan de 2017

very good introduction.


27 de set de 2022

excelente capacitação

por Osvaldo D

16 de dez de 2020

A very nice beginning!

por Minhaz K

15 de jun de 2020

slides could be better

por Daniyal S

25 de mai de 2020

it was best Experience

por David G L

16 de mar de 2020

I liked this course =)

por Jurassic

13 de out de 2017

Interesting Background

por Khinnyeinmyint

9 de ago de 2020

I get good knowledge.

por Shraddha s

12 de out de 2020

yes...i loved it....

por Mohith

14 de mai de 2020

good & easy to learn

por Abel G

20 de mai de 2017

I liked the approach

por mario p

25 de set de 2016

A great introduction

por Benjamin T

24 de jan de 2021

nice interpretation

por Ilyas Z

18 de mai de 2020

full of information

por Maneesh C

4 de jan de 2021

Really good course

por Srenivas.T

30 de set de 2020

Good for beginners

por Nguyễn T D

8 de jul de 2020

Need more examples