Chevron Left
Back to Big Data Essentials: HDFS, MapReduce and Spark RDD

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

283 ratings
76 reviews

About this Course

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....

Top reviews


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.


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 ;)

Filter by:

75 Reviews

By Kassymzhomart Kunanbayev

Mar 22, 2019

Difficult for newbies, but good for intermediate

By kebize mustapha

Mar 21, 2019

<Good learning >

By Mayur Thakkar

Mar 08, 2019

Tools provided in the course to submit the assignment doesn't work and there is no response from the team on how to resolve this issue. All the users in this course are facing the same issue.

By Ferran Garcia Pagans

Mar 08, 2019

The tools provide to complete the course doesn't work.

By Álvaro Lemos

Mar 06, 2019

Awesome course, goes very deep into the details.

By Terry Anderson

Mar 01, 2019

Good general overview, start to the subject. Frustrated at consistent issues with development environment and/or ability to debug. Responses to questions and mentor assistance is seriously lacking.

By Kristin Abkemeier

Feb 25, 2019

I learned some useful information and got some experience in working with Hadoop MapReduce and Apache Spark, even though there was plenty about the course that made it a real headache. I do feel like I spent much more time trying to figure out how to make my answers pass the autograder rather than learning how to structure my code to solve big data problems. Even though I won't bother to finish this course, because I don't need it to get a new job right now, I figure that what I have learned will give me a headstart if and when I really do need to learn this material.

By 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

By Nogin Evgeny

Jan 28, 2019

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

By Zhiheng Liu

Jan 18, 2019

fantastic content, terrible English.