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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
9,349 classificações
2,224 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.

AR
30 de Mar de 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

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1926 — 1950 de 2,157 Avaliações para o Introdução a Big Data

por Hector J D

5 de Fev de 2017

Good Introduction

por Jean-Francois B

24 de Set de 2020

Very interesting

por Harpreet K G

13 de Set de 2020

very informative

por Lavanya S B

20 de Mai de 2020

more informative

por ahmed s

6 de Abr de 2020

good inforamtion

por Navneet K D

25 de Mar de 2019

Very Theoretical

por Gitesh W

13 de Fev de 2019

very nice course

por Rafael U

3 de Set de 2017

Excelent course!

por Stark

13 de Out de 2016

Very basic info.

por vaishnavi S M

17 de Set de 2020

it is excellent

por Sorgo W C

30 de Mai de 2020

EXELLENTS COURS

por touzani y

24 de Jun de 2019

Excelent course

por piyush t

6 de Dez de 2018

too much theory

por Ivan A

19 de Jun de 2018

Too much theory

por rajavardhan s

25 de Jan de 2018

course is good

por MUYIDEEN S

19 de Nov de 2017

Very educative

por goutham

16 de Mar de 2017

good lectures.

por Vidyamadhuri R S

23 de Out de 2020

good learning

por Y. S g

12 de Jul de 2020

Good Teaching

por Sayak N

24 de Dez de 2019

Very helpful.

por Suman S

27 de Set de 2018

Interesting..

por Saksham S

6 de Ago de 2017

Way too easy.

por Haroon A

16 de Out de 2016

great so far.

por Arun K S N

9 de Ago de 2020

Interesting!

por Chintamani B

20 de Dez de 2018

Very useful.