Big Data Essentials
HDFS, MapReduce and Spark RDD
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Rating | 3.4★ based on 114 ratings |
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Length | 7 weeks |
Effort | 6 weeks of study, 6-8 hours/week |
Starts | Jan 24 (89 weeks ago) |
Cost | $49 |
From | Yandex via Coursera |
Instructors | Ivan Puzyrevskiy, Alexey A. Dral, Emeli Dral, Evgeniy Ryabenko, Evgeniy Riabenko, Pavel Mezentsev |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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What people are saying
lot of time
I still do not understand map-side and reduce-side joins, and I do not feel comfortable writing a MapReduce job without a lot of time.The lectures over Hadoop were ok, but strange.
Assignments are not difficult but it takes a lot of time and attempts to figure out what exactly the authors wanted.
Task is easy, but takes a lot of time for debbuging on hdfs and understending whats wrong with submission.
This will save a lot of time!
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grading system
This week was pretty good and insightful around Map Reduce good course but grading system has some trouble This course very nice and cool, sometimes I want just stop it =) The course fills an important gap between software engineering and data engineering.
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.
The only thing that could be better is the grading system I am very glad that I completed this course, everything is extremely affordable.
), not so good topics (for introductory course), paranoid grading system.
The subject is very interesting but the grading system is very problematic and difficult.
the authors abandunded this course, no maintenance for the grading system.
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hard to understand
There's just too many things that can go wrong that are hard to understand unless you're already a somewhat experienced programmer and comfortable with the CLI.
sometimes it is hard to understand what the lecturer is saying.
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big data
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.
其实课程内容设计还是挺不错的,配合资料对Mapreduce和hdfs基本设计思路都有很好的了解,但是课程的编程l练习不置可否。 good course, covering a lot of foundations for Big Data and for Hadoop/Spark.
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.
This course offers an understandable way to start working on Big Data!
Really recommend it if you wanna get a dive into the world of big data / divide and conquer via Hadoop!
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for beginners
This is definitely not a course for beginners.
Very great course for beginner in mapreduce...In detail and working map reduce knowledge Too quick to follow EXCELLENT This course is for beginners which have a couple of years of BigData experience Great Content if you are a beginner.
Too advanced for beginners.
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grader system
The nice and helpful course as usual because it was made by Yandex and BDTeam The course content is good, but you will have a horrible time with the grader system.
The assignments are straightforward, however you may face issues in the docker and in the grader system.
Very Good This course system had lots of bugs in grader system as well in the practice environment.
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more time
The assignments are described minimalistically, passing the automatic checking of the assignments cost more time than actually getting the right answer for the assignment and often the external assignment environment is down or not functioning correctly.
So far, I have spent more time dealing with these troubleshooting issues than actually focusing on the content.
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figure out
Submissions had lot of issues.I could not figure out and left the course in the middle(even the demo assignment was not working).The instructors were great but somehow I thought they were not very involved.Too much information (stated fast) out of which you may not be caring a lot.
understand what
I found that I had to listen to each lecture twice, once to get a general sense of where the lecture was going, and then a second time to actually understand what was being discussed.
I am unable to understand what the tutors have been talking.
very interesting
The contend is very interesting.
Other than that, the material of the course is very interesting.
feel comfortable
After this course, I do feel comfortable getting around in an HDFS, and I feel I have a basic understanding of how it works.The best part of the course was the lectures about Spark.
I feel comfortable using basic SPARK operations to manipulate data.If you wish to take this course, I recommend that you are knowledgeable about Linux Bash commands.
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Rating | 3.4★ based on 114 ratings |
---|---|
Length | 7 weeks |
Effort | 6 weeks of study, 6-8 hours/week |
Starts | Jan 24 (89 weeks ago) |
Cost | $49 |
From | Yandex via Coursera |
Instructors | Ivan Puzyrevskiy, Alexey A. Dral, Emeli Dral, Evgeniy Ryabenko, Evgeniy Riabenko, Pavel Mezentsev |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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