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Big Data Essentials: HDFS, MapReduce and Spark RDD, Yandex

256 个评分
71 个审阅


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....


创建者 YH

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.

创建者 SD

Jun 28, 2018

Absolutely essential for everyone who wants a proper introduction to HDFS, MapReduce and Spark. Brought to you by a great team of geniuses of their time ;)


68 个审阅

创建者 David Alexis Zárate Trujillo

Feb 17, 2019

The content was a nice introductory course. The only thing that could be better is the grading system

创建者 Nogin Evgeny

Jan 28, 2019

I am very glad that I completed this course, everything is extremely affordable. Teachers are competent and erudite

创建者 Zhiheng Liu

Jan 18, 2019

fantastic content, terrible English.

创建者 Anand Shukla

Jan 03, 2019

Great Course

创建者 swapnil chaudhari

Dec 29, 2018


创建者 dttung2905

Dec 22, 2018

lots of content to learn from. sometimes it is hard to understand what the lecturer is saying. Assignments are really tough too

创建者 Leonid Moiseev

Dec 12, 2018

The course is advertised as a practical one. But the majority of time is spent on outdated technologies like Map/Reduce. It would be more productive to go deeper into Spark. Assignments are not difficult but it takes a lot of time and attempts to figure out what exactly the authors wanted. The worst part is the grader and how it organized. Nevertheless you can learn a few things even if you are working in this industry.

创建者 Павел Сорокин

Dec 11, 2018

I think students could choose MapReduce or Spark. And about shortest path task. Provided by authors code runs out of memory while checking on cluster. After a lot of time playing with spark paramets and cache/persist i found solution without calculating all distances, but... Also there was no information about spark executors parameters on course...

Simple hint could save a lot of stupidly wasted time.

But it's not major, anyway thanks!

创建者 Marco Gorelli

Dec 05, 2018

Interesting, useful, informative, accessible (and sometimes funny!) lectures.

Stimulating assignments.

Fast responses from instructors/mentors.

Unfortunately, I often spent more time trying to get my assignments to pass the automatic grader than on solving them. This made the course a bit frustrating at times.

创建者 navneet kamboj

Nov 28, 2018

Awesome content...great learning ...:)