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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
9,447 classificações
2,244 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
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.

PB
24 de Mai de 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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1776 — 1800 de 2,175 Avaliações para o Introdução a Big Data

por Chen H

11 de Jul de 2017

Good course for beginner. It will be better if there are more examples.

por Jose M S F

5 de Fev de 2017

Good introduction to general concepts. Does not require specific skills

por Shivananth K

28 de Out de 2016

More practical use cases and applied knowledge base need to be included

por Vishal P

13 de Set de 2016

Good for starters. But could have been more practical than theoretical.

por James W

30 de Jul de 2016

A good introduction, looking forward to the rest of the specialization.

por Ziad A

24 de Jun de 2020

Great course for getting the basic concepts regarding BigData & Hadoop

por dstart

9 de Fev de 2019

Very interesting introduction. I will follow up with the next courses.

por Bernardo F

15 de Fev de 2018

I liked very much, but I believe you can add more practical exercises.

por Martin A

28 de Set de 2017

Great course, although hands-on excercises should be more challenging.

por Nitin G

18 de Ago de 2017

The content was very good but the explanation good be improved a bit.

por ahmed e

13 de Jan de 2019

It's good start and explanation for big data concepts and ecosystem.

por Christopher C

6 de Abr de 2018

I liked the course. I wish there were more lessons involving Hadoop.

por Daniel L

2 de Set de 2020

great course, although audio tends to be soft in the starting week.

por Santiago L E

4 de Nov de 2019

Sirve para entender el Big Data de manera teorica y muy muy básico.

por Gabriel S

21 de Out de 2019

Couls have a little more hands on training material with Hadoop VM.

por Konstantin K

8 de Fev de 2018

Good foundations and delivering general idea of how MapReduce works

por SG

13 de Ago de 2018

Wonderful course.. Has got me off to a great start about Big Data.

por Radhika

3 de Jan de 2018

Installation of hadoop on vm from scratch should be explained too.

por Lang Y

26 de Out de 2017

A little too general except for last part that talks about Hadoop.

por Jonathas S M

8 de Ago de 2016

Excellent for a introduction course. More exercises would be nice.

por Mrutyunjaya S Y

13 de Mai de 2020

Very Informative and hands on programming is too good to practice

por Alexander A

26 de Dez de 2019

More practical examples with Hadoop environment would be helpful.

por Shuai M

23 de Dez de 2018

good starting course for knowing the 3 main types of data source.

por Ronald M

1 de Mai de 2017

Some quiz have some bad wording which make it hard to understand.

por Marwan E M

23 de Mar de 2018

Nice course especially for beginners without a prior knowledge.