Chevron Left
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
5,561 classificações
1,334 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.

Filtrar por:

76 — 100 de {totalReviews} Avaliações para o Introdução a 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 Mathew A

Jan 21, 2019

Fantastic course, gets you started on Big Data !

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 Shesh S

Dec 09, 2018

Excellent introduction to the world of Big Data

por Amal J

Feb 05, 2019

Well structured with relevant examples to explain the concepts better.

por Ravichandra N

Feb 13, 2019

Very nice course!

por NIVEDHITHA M

Feb 14, 2019

G

O

O

D

por VIKRANT P

Feb 14, 2019

Excellent course material, enjoyed learning.

por Swapnil D

Mar 11, 2019

Good to start with Big Data platform.

por Mhd K D

Jul 14, 2018

All the contents were explained in a great way, also each assignment was related to the topicamazing explanation, keep it up .

por Devon E

Jul 13, 2018

Brilliant overview of the data landscape - The instructors are clear and concise

por Aleksandr K

Sep 23, 2018

Great Course and insights into Big Data. Excellent starting point for anyone who wants to learn more about Big Data.

por Harry F

Sep 23, 2018

Found this to be an excellent introductory course on big data, even for those well versed in traditional data warehousing.

por Md. F I

Sep 23, 2018

This Course is basic of Big Data Analysis and instructor done very well.

por Marcos H M C R

Sep 23, 2018

Good course, however, a bit difficult for the ones who are not used to this framewoork.

por Cai L

Sep 24, 2018

The course is well designed for beginners. the difficult level is just nice and easy to follow up and finish

por Luiz H Q L

Sep 24, 2018

Excellent course.

por Varun K

Sep 24, 2018

Excellent course material. Quiz were also good. Overall great learning experience.

por María B O S

Sep 26, 2018

A dynamic course that hooks you to Big Data

por Harish A

Sep 25, 2018

A nice well paced introduction to Big Data. Lays out the foundations and then gets to some basic programming

por Jay P

Sep 13, 2018

very helpful and explanatory

por Anurag S

Sep 13, 2018

This is a very good course which provides a good overview of the big data domain. It provides an introduction to the various Hadoop components and gives a flavour of big data computing using Cloudera. Overall, a very good introduction to the six course specialization.

por sherifomrelshorbagy

Sep 13, 2018

Intersting cource and instracture

por Yuqing Z

Sep 12, 2018

Great introductory course. It is great for people with absolutely no big data knowledge like me. It explains concepts clearly. Look forward to other courses in this series.

por Wiboon O

Sep 12, 2018

easy to understand