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Отзывы учащихся о курсе Введение в большие данные от партнера Калифорнийский университет в Сан-Диего

4.6
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Оценки: 7,694
Рецензии: 1,834

О курсе

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+....

Лучшие рецензии

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.

Фильтр по:

151–175 из 1,783 отзывов о курсе Введение в большие данные

автор: 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.

автор: Luis H

Sep 06, 2016

Good introductory course. The first lessons are slow so I recommend watching them on 2x speed. The last lesson (hands on) is better because it gives a real taste of hadoop

автор: Shivani S

May 05, 2020

It was really helpful and I completely enjoyed doing the course because of the hands on project at last.I gained much more than wha ti knew in the class.

Thankyou Coursera

автор: Antonio E C d S

Feb 21, 2020

Aprendi muito sobre os conceitos do Big Data, quais seus benefícios e como utilizá-lo. Também aprendi sobre o ecosistema Hadoop e os Core (HDFS, Yarn, MapReduce) do mesmo.

автор: Наталья Д

Aug 22, 2018

I really liked the course. For me, this is a completely new and unknown facet. Practical tasks-it's super! Make with interest to achieve results. Wow! Thank you very much!

автор: Tuan N

Dec 13, 2019

Easy understanding the course, suitable for newbie. Reasonable schedule and assignment pressure push learners go ahead. Sometimes system email encourages you not give up.

автор: Eitan A

Jul 25, 2017

Great Class, perfect for a novice such as myself. In fact, I was surprised how much I learned on the basics of big data and the Hadoop environment in such as short time.

автор: Raul A H

Jul 19, 2017

Good introductory course. Basic concepts are accurately defined. Hadoop intro is in appropriate pace for newers. Clear explanations. Looking forward to the next course.

автор: Oluwasegun ' I

Apr 08, 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.

автор: Akshay V

Aug 24, 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.

автор: Pradhyumn A

May 10, 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.

автор: Daniel P

Jul 17, 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.

автор: Aayush R

Jan 21, 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!!!

автор: Vladimír L

Feb 13, 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.

автор: 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!

автор: Abdullah

Mar 16, 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.

автор: Sekhar T

May 30, 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.

автор: Juan G C

Nov 02, 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.

автор: Eliana H

Feb 10, 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

автор: Sadhavi T

Jun 05, 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 .

автор: karra k k

Nov 17, 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

автор: Nikhil N P

Aug 08, 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.

автор: Ranjana

May 21, 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.

автор: Martina D

Jul 03, 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.

автор: Ali A

Feb 17, 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.