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Big Data Essentials: HDFS, MapReduce and Spark RDD

This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one) " don't miss the opportunity to expand your knowledge and skills in the field of data engineering and data analysis on the large scale.In four concise courses you will learn the basics of Hadoop, MapReduce, Spark, methods of offline data processing for warehousing, real-time data processing and large-scale machine learning. And Capstone project for you to build and deploy your own Big Data Service (make your portf

3.4

102 reviews

Created by: Ivan Puzyrevskiy

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Overall Score : 68 / 100

Course Description

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.

Time: 45h

Instructor Details

Ivan Puzyrevskiy

3.4 Rating
102 Reviews

A teacher at the Yandex School of Data Analysis, Ivan leads seminars on the analysis of internet data, and also organises project work in the National Research University Higher School of Economics' Faculty of Computer Science. At Yandex he heads a group developing the YT platform for distributed computing and data processing. Having started out in machine translation and natural language text processing, his interests currently are about big data.

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Reviews

3.4

102 reviews in total

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By Tomiwa k on 8-Nov-19

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

By SAI V K on 29-Oct-19

Course is good,but the grader doesnt work properly.

By Кряжевских on 7-Oct-19

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.

By Amit V S on 29-Sep-19

A well structured, to the point description, well designed exercises taught by brilliant instructors.

By Alok K on 16-Sep-19

Very Good

By Akshay K on 15-Sep-19

This course system had lots of bugs in grader system as well in the practice environment. Also the course journey was not suitable for a beginner point of view.

By Michael S on 14-Sep-19

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

By David B on 27-Aug-19

Very good course with quite some tips, useful for real life scenarios. Some specific topics where not even covered in books nor on the internet to the depth covered in this course. Besides the knowledge, the authors put some hidden jokes here and there which gives you some laughs now and then. Really recommend it if you wanna get a dive into the world of big data / divide and conquer via Hadoop!

By Minh T on 24-Aug-19

Great

By shubham m on 20-Aug-19

Very Nice..............Intraction

By Yannic H on 13-Aug-19

I don't even know where to begin...The English is super hard to understand, the documents which are needed for working with the videos appear after the videos, the course jumps around with introducing knowledge and then just shrugs it off with a page of "yeah we know there are jumps here but please stay with us"

By Lorenzo M on 5-Aug-19

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.

Showing 12 of 102 reviews