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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
5,604 classificações
1,342 avaliações

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

Sep 09, 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.

RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

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126 — 150 de {totalReviews} Avaliações para o Introdução a Big Data

por Enrique G R

Jul 01, 2016

Good

por Mohammad B S

Nov 17, 2016

"Dhaado sutho mukhe dhaado wanton" ( Sindhi)

Very nice indeed i liked it very much

por David C

Jul 18, 2017

Good overview of the key concepts, techniques, and technologies involved in using and/or implementing a big data program.

por Nitin N

Mar 14, 2017

awesome introduction to big data. Aimed at complete rookies

por cmsandiga

Aug 21, 2016

The content is better than the last course, nice job !

por Mohamed M G F

Feb 20, 2017

Perfect introduction course to Big Data

por Jose A R N

Feb 12, 2018

My name is Jose Antonio. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)

I did this specialization to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

Regards.

Jose Antonio.

por Tony L

Nov 27, 2016

Learn alot in Big Data

por João P S S

Jul 05, 2017

G

por Nitin K M

Jul 03, 2017

good course

por Ahmed B

Jan 10, 2018

Amazing!

Actually, this is the first course for me on Coursera. I have learned a lot of valuable information and took a perfect knowledge from respected professors. I wish to finish this specialization in 6 months.

por loveneet k

Jul 28, 2017

Good overview to understand BIG data and technologies running behind it.

por Mejzo

Aug 23, 2016

Really nice overview about Big Data .. I guess you have to watch it 2 times for better understanding.

por Shakir

May 10, 2017

Nice course and learned a lot of new things. Very informative

por Elena D

Jan 10, 2017

Comprehensive introduction to Big Data and Hadoop. Great and simple explanation of MapReduce.

por Santanu K

Feb 02, 2017

Excellent course! Very well structured and provides basic understanding of the concepts involved in a very clear way.

por Miguel A G O

Oct 25, 2017

Muy buen inicio.

por Jennyfer C

Aug 01, 2017

_

por Alexzander A M

Jan 30, 2017

Excellent course; thank you!

por Kelvin C P

Aug 10, 2016

Very good :)

por Giacomo V D

Jan 11, 2018

Very gentle and effective introduction to the Big Data field, covering the general concepts and providing clear examples. Ideal for everybody interested in the topic. No specific programming skills required.

por saumya c

Jun 05, 2017

very good and informative. course will let you open up your arms in the area of data science

por Diego S

Oct 16, 2016

This course is perfect for Big Data beginers. I loved how they explained haoop's architecture and big data principles in a simple way.

por 蔡文震

Oct 08, 2016

nice class

por Fanny S

Aug 08, 2016

This course is a good way to begin by the Data science world. I like so much the excercises with Hadoop.