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Retour à Big Data Essentials: HDFS, MapReduce and Spark RDD

Avis et commentaires pour d'étudiants pour Big Data Essentials: HDFS, MapReduce and Spark RDD par Yandex

554 évaluations
150 avis

À propos du cours

Have you ever heard about such technologies as HDFS, MapReduce, Spark? Always wanted to learn these new tools but missed concise starting material? Don’t miss this course either! In this 6-week course you will: - learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark; - be guided both through systems internals and their applications; - learn about distributed file systems, why they exist and what function they serve; - grasp the MapReduce framework, a workhorse for many modern Big Data applications; - apply the framework to process texts and solve sample business cases; - learn about Spark, the next-generation computational framework; - build a strong understanding of Spark basic concepts; - develop skills to apply these tools to creating solutions in finance, social networks, telecommunications and many other fields. Your learning experience will be as close to real life as possible with the chance to evaluate your practical assignments on a real cluster. No mocking, a friendly considerate atmosphere to make the process of your learning smooth and enjoyable. Get ready to work with real datasets alongside with real masters! Special thanks to: - Prof. Mikhail Roytberg, APT dept., MIPT, who was the initial reviewer of the project, the supervisor and mentor of half of the BigData team. He was the one, who helped to get this show on the road. - Oleg Sukhoroslov (PhD, Senior Researcher at IITP RAS), who has been teaching MapReduce, Hadoop and friends since 2008. Now he is leading the infrastructure team. - Oleg Ivchenko (PhD student APT dept., MIPT), Pavel Akhtyamov (MSc. student at APT dept., MIPT) and Vladimir Kuznetsov (Assistant at P.G. Demidov Yaroslavl State University), superbrains who have developed and now maintain the infrastructure used for practical assignments in this course. - Asya Roitberg, Eugene Baulin, Marina Sudarikova. These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting....

Meilleurs avis

21 nov. 2018

Everything in this course is new to me, but it provides me with many practice so I can gradually get familiar with all these new stuff. I find it a bit challenging, but overall it's quite good.

9 mai 2019

The course takes you from basic level , step level .But It is quite fast for beginners , you may need pause video in between and try to understand the concept.

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126 - 148 sur 148 Avis pour Big Data Essentials: HDFS, MapReduce and Spark RDD

par Rickard B

24 janv. 2018

The content of course is quite good and I really appreciate the instructors taking time to prepare the videos. The grading system for the programming assignments is appalling though. Coding tasks are not hard, but hours are spent deciphering cryptic messages from the automatic grader and little feedback is provided for debugging.

par Luis V

9 janv. 2018

This course has potential to improve and to be a very good course, but serious problems with the assignments or the graders, and the lack of care in the assembly of some lessons and their corresponding quizzes make impossible to recommend it to anyone interested in a serious and high quality course on the topics of big data.

par Partha C

7 avr. 2020

The pronunciation is hard to understand and most of the in-course tools does not work

par Kirill P

3 juin 2019

This course is for beginners which have a couple of years of BigData experience

par Evgenii M

6 oct. 2021

Bugged grader and complete lack of support from admins of the course

par Hitesh G

13 mai 2019

Assignment tool were not working. In every week there is problem.

par Onyeka D

20 oct. 2020

Very difficult to understand the instructors accents

par Dmitry P

12 mars 2021

Terrible, almost useless subtitles. Inappropriate and annoying jokes (hi, Alex). Different sound levels in lectures. Materials aren't correspond to questions, or rather to expected answers. Strange order: two lectures about Spark then test about Hadoop and vise versa. And so on, and so on.

Waste of time and energy, but I have to pass it.

par Lorenzo M

5 août 2019

Some online tools that are really important for assignments do not work for days and noone in the stuff answers in the forum and neither in the slack channel dedicated to the course.

par Siddharth K

9 juin 2021

The worst course so far on coursera. There is no in depth material language is so bad and the list goes on..

par Michael S

14 sept. 2019

No support at all from the team, exercise description often imprecise, wrong formulas have been used.

par Irina M

23 sept. 2020

Unfortunately very heavy non English accent that makes it difficult to follow the lecture.

par Aart S

23 nov. 2021

T​otally unstructured course. Lot af theory without lecture notes or written backup.

par Ria K

5 oct. 2021

Hard to keep with the way the course is set up. Hard to understand the instructors .

par ALI A

1 déc. 2017

Not fitted to me and i need to cancel my subscription at the earliest

par Eric C

21 mars 2020

Sorry, I don't understand the English in this course.

par Ayush T

1 juil. 2021

The Grader was very bad and not easy to debug

par Ratan J

1 août 2019

No support and badly worded problems.

par Fadong Y

28 juin 2021

cannot understand a word he/she said

par Neeraj R

19 août 2018

no clear explanations.

par Li, H

5 juil. 2019

Too quick to follow

par Hassan F

28 janv. 2021

Very bad accent!!

par Bishwa B T

4 mai 2021