No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. But why strain yourself? Using Mapreduce and Spark you tackle the issue partially, thus leaving some space for high-level tools. Stop struggling to make your big data workflow productive and efficient, make use of the tools we are offering you.
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
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来自BIG DATA ANALYSIS: HIVE, SPARK SQL, DATAFRAMES AND GRAPHFRAMES的热门评论
content of the course is remarkable and the way they explained concepts is very lucid. I just want to give suggestions please give link to the data set they are using for illustrating the concepts.
Quite a good course, but weeks about graphs I found somewhat poor. Apart from that you learn basics of Hive, details of DataFrame API of Spark and how it internally works.
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.
I wish I could give more rating than 5 :). Excellent course. Thanks so much for such an excellent course. All the instructors are great.
Nice course, but the impression about practical tasks is really awful. The tasks are ok, but grading system is too buggy
Good course...Deep dive into optimization of spark for production environment.Also interesting graph implementations
This course is so detailed and focused on the basics of the Hive and Spark SQL frameworks. Amazing professors.
Great course if you have a little bit of experience in the big data world.
Eye Catching career Matching course..especially lectures by Alexey Dral
Good. Please fix assignments explanations. i.e In week 5.
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