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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
5,379 classificações
1,306 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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226 — 250 de {totalReviews} Avaliações para o Introdução a Big Data

por Jorge M

May 09, 2017

Great Introduction to Big Data!!

por Paulo R V P

May 02, 2017

Excellent introduction to big data.

por Charles, Q L

May 27, 2017

I highly recommend this course if you want to enter the world of Big Data. So far I have learned what big data is, the process of big data, distributed file systems, MapReduce programme model, Hadoop ecosystems, and more. It is simply a good course!

por Husnain A

Oct 26, 2017

Very well structured

por Luis A R G

Mar 02, 2017

Excelent course about basic knowlegment of Big Data, Exceleent materials and examples. Recomended

por Steven V

Aug 01, 2017

Great intro course. The first 2 weeks move a bit slowly, but the final week of courses were very insightful.

por Amol G

Oct 09, 2017

Lots of new information for beginners -> structured, delivered in clear speech, appropriate graphics

por Robert R

Jan 04, 2018

Excellent introduction to the Big Data landscape!

por Leonardo R d A

Jul 10, 2017

An excellent introductory course on Big Data addressing its application in current and practical subjects, with a good method of evaluation besides providing the necessary tools to apply all the theoretical content in practice.

por Matheus G L

Jul 20, 2016

Good content, good teacher. Maybe should have a little more hands on assignments, but it is an excellent introduction to the topic!

por Anand G

Apr 06, 2017

Great introduction to Big Data. so far best i have seen.

por Shantanu P

Dec 19, 2016

I learnt many things about Big Data. Now at least I have some basic foundation in it.

por Eduardo A

May 25, 2017

The first course in Big Data Specialization, You must need to know the basics but it's very practical and simple to get inside Big Data

por Hongyang Y

Feb 07, 2018

神课!

por Luis E R

Sep 16, 2016

Great introduction

Clear and consice.

por Govardhan H

Sep 26, 2016

I would like to enroll many such courses . Excellent Teaching . Thanks to teachers who spent their precious time in preparing slides and delivering quality teaching.. Hats off to Coursera. I recommend my friends too , to enroll such a wonderful course.

por Thuong D H

Sep 23, 2016

Good course

por Anup K M

Apr 22, 2018

very good

por Venkata S P

Dec 11, 2016

Excellent course. Very good foundation.

por Ismael F M

Oct 04, 2016

It is a great introduction to big data world

por anupam b

Jun 11, 2017

Gives a great start to delving into the area of data science.

por Davide M

Mar 19, 2018

good introduction to big data ideas and MapReduce concepts

por Prabir B

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.

Very smooth learning experience.

por Edgar R E B

Jun 20, 2017

Excelent.

por Federico S

Jan 27, 2018

I'd say it's an excellent first serious approach to Big Data. It has been great to do some hands-on MapReduce exercises