Chevron Left
返回到 Big Data Essentials: HDFS, MapReduce and Spark RDD

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

4.0
405 個評分
110 個審閱

課程概述

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....

熱門審閱

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.

SH

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.

篩選依據:

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

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.

創建者 Ali A M A

Dec 01, 2017

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

創建者 Jeremy K

Apr 03, 2018

garbage

創建者 Li, H

Jul 05, 2019

Too quick to follow

創建者 Ratan J

Aug 01, 2019

No support and badly worded problems.

創建者 Lorenzo M

Aug 05, 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.

創建者 Michael S

Sep 14, 2019

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