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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
5,402 classificações
1,312 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.

PB

May 25, 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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26 — 50 de {totalReviews} Avaliações para o Introdução a Big Data

por Guilherme S

Jan 04, 2019

Excellent course.

por Manorathna A R P M

Jan 31, 2019

I have learnt the new Big Data Concepts & modern technology that is used to unlock the value of massive data sets. This course has ignited my curiosity & interest in learning more about the Big Data technologies. I received the financial assistance to complete the course & earn a verified certificate for this course. Thank you Ilkay Altintas & Amarnath Gupta who are the instructors in this course. They organized & taught the course materials well so that even the new learners can understand. Thank you Coursera for giving me financial assistance to complete the course.

por Chin C L

Jan 31, 2019

The course is pretty good. It help me to understand some basic of Big Data and Hadoop.

por Seshu

Jan 31, 2019

Good basics about Big Data and Hadoop

por Anuj P S

Feb 03, 2019

Great information covered all the topics from basics to advanced

por Amal J

Feb 05, 2019

Well structured with relevant examples to explain the concepts better.

por Jorge d l C

Feb 07, 2019

Great!! Love your lessons

por Ranju M

Nov 20, 2018

This is really an awesome course. I thoroughly enjoyed.

por Hasitha K

Nov 06, 2018

Excellent teaching, each and every topic is very clear and easily understandable.

por Benniah S D S

Nov 08, 2018

A great introduction into the Big Data world.

por Claire_zyy

Nov 23, 2018

Help me have a better understanding of big data indeed.Thank you so much

por Duc D

Nov 24, 2018

The introduction content of Big Data is very good.

por Lucas R P

Nov 28, 2018

Very good course!

por Xiao S

Nov 14, 2018

good introduction to the basic concepts for big data!

por Mary G

Nov 14, 2018

Excellent course. Very helpful in introducing Big Data concepts and Hadoop

por Montaser A S

Jan 16, 2019

It is a very good course as a fundamental we must know , thank you very much

por Monzer N

Jan 07, 2019

Useful introduction thank you

por Fernando M

Jan 07, 2019

Great to understand and practice basic concepts

por Simon L

Jan 19, 2019

A great introduction to Big Data with a funny MapReduce exercise (for beginners).

por poojitha

Jan 19, 2019

The introduction to basic concepts was really helpful for a begginer.

por Estefania L

Jan 07, 2019

A very good introduction to fundamentals concepts of Big Data

por Pouya Y L

Jan 08, 2019

Well-organized, well-illustrated, and well-presented. It is a great course to understand the basics and concepts of big data and get familiar with existing platforms!

por Neha R

Jan 09, 2019

A must to start with course for beginners

por Alonso S

Jan 21, 2019

Great introduction to the topic. Look forward to more hands on, technical skill building in the next chapters.

por Mathew A

Jan 21, 2019

Fantastic course, gets you started on Big Data !