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
estrelas
9,453 classificações
2,244 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.

RG
13 de Jul de 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:

1976 — 2000 de 2,175 Avaliações para o Introdução a Big Data

por Kris H

22 de Jun de 2016

Good intro

por Aniket D

13 de Set de 2020

thank you

por Kumara S

14 de Jul de 2020

Excellent

por Srimathi. S

20 de Jun de 2020

Excellent

por surbhi p

4 de Jun de 2019

liked it.

por Tarun T

29 de Jul de 2017

Very Good

por Monisha M

6 de Jul de 2017

Excellent

por Yugesh K

10 de Jul de 2020

its good

por NEELJI P

22 de Ago de 2018

nothing

por Sheraz I

4 de Jul de 2020

v.good

por Rishabh T

3 de Jul de 2020

great

por PARVADHARSHINI K

18 de Mai de 2020

Great

por VEDIKOLA R R

12 de Out de 2020

Good

por SATHYASRI V

5 de Ago de 2020

Good

por Arihant S J

18 de Jun de 2020

Good

por Sumit K

18 de Jun de 2020

good

por Tejal C

9 de Jun de 2020

Good

por Chirag P

15 de Mai de 2020

Good

por SUTHAHAR P

13 de Mai de 2020

Good

por Hyungje W

31 de Out de 2018

Good

por Mahmoud T

6 de Jul de 2017

good

por Sweta c

27 de Ago de 2020

ok

por Kirk S

5 de Mai de 2018

Quizzes appear to have been written by someone who simply went through the videos and slides and looked for things for the student could parrot back rather than by someone who was asking questions based on understanding of the material.

Videos is not a great medium for this kind of thing. It is slow and hard to review. I understand the desire to replicate a classroom experience, but without the ability to interrupt and ask a question, that isn't what you are creating. The transcript system is quite helpful in this regard, but really, if you just gave me a short text to read that clearly stated the things discussed in the video it would be more efficient.

por Michael L

28 de Fev de 2020

The course is gives a good overview on big data as a topic. I personnally found the questions in the reviews sometimes arbitrary. I would have liked more implementation and a bit more technical flavour. At the same time the technical infrastructure (Cloudera virtual Machine) needs to be updated. It is bit messy working on a machine with such a bad screen resolution. E.g.: Unfortunately, installing the guest additions affects the functionality of haddop on the virtual machine. Thus, in the practical part one bothers more with technical issues than the actual implementation.

por Zsolt B

5 de Set de 2016

The content of the course is alright and up to date. The instructors are also good, passionate and has a great knowledge.

What brings everything down is the video editing and the slide design/quality. They are terrible and clearly not in the field of profession of the creators.

All in all, it is an average course, but I can recommend it to anyone interesting in the topic, because it does its job. If someone could improve the slides and the video editing could reach the youtube video reviewer/critic level, it could easily do a 4 out of 5.