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學生對 Yandex 提供的 Big Data Essentials: HDFS, MapReduce and Spark RDD 的評價和反饋

404 個評分
110 個審閱


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....



Nov 22, 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.


May 10, 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.


76 - Big Data Essentials: HDFS, MapReduce and Spark RDD 的 100 個評論(共 107 個)


Aug 02, 2018

Excelente curso, falta más realmentación por parte de los profesores, pero en general aunque el contenido es Denso y se requieren más horas de lo estipulado en el curso, es muy bueno.

創建者 Bo T

Sep 06, 2018

The assignment cannot submit correctly. Really disappointed!

創建者 Rain

May 24, 2019


創建者 Waldemar D

May 19, 2019

good course, covering a lot of foundations for Big Data and for Hadoop/Spark. Also one of the few that focus on Data Engineering perspective rather than Data Science. Learned a lot here!

創建者 Кряжевских С В

Oct 07, 2019

Practice work in this course is divided in two part. First, you try to solve an assignment into your home Docker environment. It's really interesting to do it in spite of the assignments is not very clear. Second, you try to put the result into the course's grader system. For me, Grader it's like a Major Payne. You will get an amazing experience to work with production cluster through not well suited environment.

創建者 saranbabu

Nov 30, 2019

nice experience

創建者 Tomiwa k

Nov 08, 2019

the curriculum is fine, I learnt new things. the authors abandunded this course, no maintenance for the grading system. this shows be fixed

創建者 SAI V K

Oct 29, 2019

Course is good,but the grader doesnt work properly.

創建者 Alberto B

Jun 26, 2018

Bad support, terrible problems with the UI, some homeworks are poorly explained. Nevertheless, the course's content is very good.

創建者 Janneke V

Feb 01, 2018

Learned a lot, but the videos alone aren't really enough to get you through the assignments. Also, the assignments have a 'bottleneck' at the grading system where you know the answer is correct yet the grader won't accept it because your route to the answer is different than standard.

創建者 Guryanov A

Jun 14, 2018

Practical tasks could use some work: it would not hurt to have more of them, but to improve them with good notebooks like Andrew NG's deep learning course (maybe not as simple as his, but mode informative for sure)

創建者 Aleksey A

Dec 03, 2017

Good material, but very slow system for check hadoop and spark notebooks. I spent much more hours for complete practice tasks.

創建者 Alexey S

Jan 29, 2018

Good (not excellent) as a technical presentations, but mediocre as a university class .

Clearly. done by an engineer, not a professional teacher

創建者 Usman

Feb 27, 2018

Great course but the assignments are a mess. The grader is unreliable and they are all sorts of problems. The content is great though.

創建者 Papadopoulos K

Sep 25, 2018

The subject is very interesting but the grading system is very problematic and difficult.

創建者 Dmitry P

Oct 19, 2018

Quizzes in this course ask questions that are not covered in lectures. Subtitles are full of mistakes and typos. Other than that, the material of the course is very interesting.

創建者 Harish S

Oct 26, 2018

Too advanced for beginners. Some working knowledge needed in big-data stream before starting this course.

創建者 Nagarajan

May 14, 2019

The course content is good, but you will have a horrible time with the grader system. You will have to spend lot of additional hours which you shouldn't be. I could have learned a lot more if the assignments are clear and if the mentors are active. Many links are broken as well.

創建者 Nedashkovsky S

Nov 18, 2019

It's interesting course, but the loss of time due to incorrect operation of the task verification system is frustrating

創建者 Rickard B

Jan 24, 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.

創建者 Chuishi

Jan 08, 2018

I can't say this is an easy-understanding course.

I have some knowledge on the Hadoop, MapReduce, and Spark. But the lectures in this course are not well organized and clearly presented. Many concepts are too abstract for people to digest and follow. They only talk about very limited theoretical knowledge, and the examples only mess up with your knowledge base.

Two points for the free access.

創建者 Luis V

Jan 09, 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.

創建者 Hitesh G

May 13, 2019

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

創建者 Kirill P

Jun 03, 2019

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

創建者 Nathan V

Mar 01, 2018

extremely difficult to understand some of the trainers, lots of errors, hard to follow material presented, lots of material tested but not covered well in training.