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Opiniones y comentarios de aprendices correspondientes a Introduction to Big Data por parte de Universidad de California en San Diego

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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+....

Principales reseñas

DK

11 de ago. de 2021

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.

HM

8 de sep. 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.

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226 - 250 de 2,444 revisiones para Introduction to Big Data

por Oluwasegun ' I

8 de abr. de 2020

This is a great introduction to Big Data. The instructors did an excellent job of teaching with real world examples that will enable you to understand complex concepts.

por Akshay V

24 de ago. de 2016

It is the best course for getting the overview of Big Data. It builds the basic concepts of data very easily.

Thanks to Coursera and University of California, San Diego.

por Pradhyumn A

10 de may. de 2020

It was a lovely course. each and everything was so nicely explained that it created an interest for big data in me.thanks to both the instructors especially the ma'am.

por Daniel P

17 de jul. de 2018

Great introduction to Big Data. I went from knowing nothing about the subject to feeling mildly confindent about talking about the subject with industry professionals.

por Aayush k

21 de ene. de 2018

Best course to get started with Big data. This course cover all the fundamentals needed to be taught. It is both interesting and fun. I really learned a lot. cheers!!!

por Vladimír L

13 de feb. de 2017

A very good introduction to the Big Data world. Learning videos and supporting materials well prepared, quizes balanced, instalation guide for Hadoop was also perfect.

por Pouya Y

8 de ene. de 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 Abdullah

16 de mar. de 2018

It has been a great learning experience! I would recommend this course to everyone who is interested in Data Science, in general and Big Data Analysis, in particular.

por Tyrone C

20 de abr. de 2021

Very good intro Big Data course. The Hadoop/MapReduce activities and command line examples were useful to feeling more comfortable in exploring Hadoop in the future.

por David L

1 de feb. de 2021

Me ha gustado mucho el curso. Quiero tomarme esta semana para repasarlo mejor y en breve empezar el de "Especialización" de la Universidad de Computo de San Diego :)

por Jimmy R

28 de jul. de 2020

Nice! Understood how is big data used and implemented in daily lives, businesses, and various other sectors as well. Also, we got to learn how to use hadoop as well.

por Sekhar T

30 de may. de 2019

Great beginner course for Big Data. Should not be skipped or neglected this course at all. It help me to understand why big data technology need and it's the future.

por Juan G C

2 de nov. de 2017

I really enjoyed the course and I hope to start using this knowledge and put in practice what I've learned as soon as possible.

Probably I'll do the next course also.

por Eliana H

10 de feb. de 2017

Interesting, very complete and really good explained, very participative, I'm really happy to had the opportunity to learn with this course and amazing professionals

por Sadhavi T

5 de jun. de 2020

For a beginners it's really simple and good course as everything was easy to understand and implement . Gained a lot of knowledge which will be surly be helpful .

por kranthi k k

17 de nov. de 2018

It is a fantastic platform to upgrade our skills and the way of teaching is every nice to hear and understandable really impressive.Thanks for this beautiful course

por Deleted A

8 de ago. de 2017

Excellent course covering all the aspects of Big Data to get started and gives hands on practice of basic hadoop commands A must for all who want to learn Big Data.

por GANESH K T

28 de sep. de 2020

Dear Professor's

Very good course, I have learned lot of methods in big data from Coursera, Thank you so much Professor Amarnath Gupta and Professor Ilkay Altintas.

por Abhay V

8 de sep. de 2020

This is a quick and fast course to introduce one to Hadoop technology, but one is fimilar with basic concepts they should trying to find a more challenging course.

por R. R

21 de may. de 2020

The content was very useful and informative. A learner new to the topic can easily comprehend and get interested. Presented very well with good real time examples.

por Martina D

3 de jul. de 2018

Interesting, understandable, easy to follow and interactive. I liked the Map-Reduce assignment and HandsOn the most. I wish there are more HandsOn and Assignments.

por Ali A

17 de feb. de 2018

The course gives in-depth details of introduction to big data, techniques and helps you getting started with informative lectures, interactive quiz and many other.

por Naum S

3 de jul. de 2017

Excellent intro course in Big Data world. However I do disagree with time estimation of 5hr to 6 hours per week. I spent double that, although it might be just me.

por Alice V

11 de abr. de 2017

Very helpful overview of all major topics around big data. Engaging, never boring. A couple of good framework to structure the various information around the topic

por Trisha M P

24 de abr. de 2022

Very challenging for people with no background of big data like me, but I enjoyed all the learnings and codings of hadooq. Thank you Ma'am Altintas and Sir Gupta!