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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
5,544 classificações
1,332 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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1226 — 1250 de {totalReviews} Avaliações para o Introdução a Big Data

por Francisco J H

Aug 20, 2019

It was very elementary and buisness oriented concepts. I was expecting more content on technical aspects.

por Jefferson C B

Aug 27, 2019

Bom curso, por ser um inicio ao haddop e nao informar que é direcionado para pessoas que tenham um conhecimento prévio, precisa procurar na internet comandos e dicas sobre como atuar em algumas situações que nao ão discutidas em aula, mas no geral material muito bom.

por Pavindu L

Dec 27, 2018

This is more focused on theory than practical experience.Its better to shorten the video duration so that it will not be boring to listen to lectures.

por Matthew W

Sep 30, 2018

Would have been fine as a 1 week introduction to the material but as a stand alone course was insufficient.

por MH N

Mar 16, 2017

In my opinion, a very basic course...

por Petter B

Aug 08, 2016

The content of the course is ok. The main problem is that the way the information is presented. Ilkay Altintas, who is the main lecturer, is a sweet woman, but lecturing from a manuscript is not her strongest side. It is clear that she is reading from a screen while she is looking into the camera. Anyone could do that job, and they should have chosen more of an "news anchor" type of person with better pronunciation and more flow. It's simply very uninspiring and boring to listen to. Also, 59 dollars is far too expensive for such a short course.

por Evženie T

Apr 05, 2018

The basic concepts were mentioned but not explained deeply enough, so I was mostly memorizing rather than understanding. The presentation was boring, and the tests did not really test anyone's understanding of the subject matter but rather if one memorized correctly the information from the videos. I would recommend finding a more engaging course.

por Jochen D K

Sep 27, 2017

No clear guideline of how to use Cloudera proparly. Some functionalities you need to complete the final weren't even mentioned during the lectures! It took me several hours to find useful information about it online.

por Michał S

Jan 06, 2017

It covers theoretical part of "What big data is" and basic info about Hadoop. Quality of presentation slides is below average. Most of them are not readable - many fonts, many colors, some with complicated pictures, some with no information at all. Part with Map reduce is just slightly touched, not explained in details, without examples. Practical tasks from hadoop are very easy and they show nothing (just how to navigate over hadoop file system.

por Brendan P

Nov 23, 2016

Quite poor. Just a lot of talk and nothing practical.

por Robert H

Sep 09, 2017

Tedious exercises through VM where instructions oftentimes do not work out of the box. It is a hassle to download the slides in small sets and their design awful. Definitely one of the worse courses I have taken.

por Damon A

Jul 02, 2017

This course was really basic.

por Alejandro R

Sep 01, 2016

Most of the course is providing useless statistics, i didn't enjoy it and it's a really basic course.

por Khaled

Nov 30, 2016

very boring

por César G M

Jul 16, 2017

I guess I shouldn't be pissed at an 'Introduction' course to be too basic, but still... It's completely skippable, even if you don't know anything about big data.

por Petar S

Sep 19, 2016

Too philosophical.

por bunjolah

Feb 19, 2018

too broad of explanations

por Sergei P

Jul 30, 2019

A very basic and still confusing set of slides. It's much more productive to google Hadoop wiki.

por Lourens A

Oct 25, 2019

There is a lot of terms that is not needed, the presentation of the course does not inspire to want to know more and is very one tone. If you know a bit about data and some concepts you do not really learn a lot

por Laurent S

Feb 10, 2019

I have rarely seen a course that is so terrible

por Robin B

Sep 24, 2016

Very disappointing. Poorly written quizes and presentations. The level of the course is far too basic to be of value, but is required for the specialization. Why not offer an option to test out of basic introduction courses?

por Darian H

Nov 17, 2017

The final quiz for Week 3 is broken.

por Sean G

Sep 24, 2016

Less useful than reading an introductory chapter. Being able to reiterate acronyms or idiosyncratic mnemonics does not demonstrate any real understanding of this field. The minimal information provided and low level of the instruction at least clarified that this specialization is not worth pursuing.

por Seth D

Aug 18, 2016

Extremely basic intro, not valuable if you have any understanding of the the space

por William R

Oct 06, 2016

Honestly, for the price paid, the value given is quite low. I expected to have more hands-on working with the Hadoop ecosystem rather than this course's focus on background that really does not help one to become productive.