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Отзывы учащихся о курсе Hadoop Platform and Application Framework от партнера Калифорнийский университет в Сан-Диего

3.9
звезд
Оценки: 3,090
Рецензии: 742

О курсе

This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process....

Лучшие рецензии

GM

Feb 01, 2016

I'm forced to give 5 stars. I don't want to have a certification on a poor quality course (another coursera mistake). This material needs tremendous amount of work to get finished and revised.

NP

May 16, 2020

Learned about Hadoop Ecosystem, limitations of map-reduce approach and Spark as a solution to overcome some of limitations.Thanks for giving me the opportunity to participate in this MOOC.

Фильтр по:

101–125 из 724 отзывов о курсе Hadoop Platform and Application Framework

автор: Ramsimran S

Jan 01, 2016

One of the best tutorials till date.

Keep up the good work.

Regards,

Ramsimran Singh

автор: Eloualid B

Oct 13, 2019

Thanks a lot for this making this course, it explains a lot of things of Hadoop.

автор: Daniel S

Jan 06, 2016

A very good overview on the Hadoop and Spark frameworks with useful assignments.

автор: Tom W

Jan 01, 2016

Great hand-on assignments, where You have to code in Hadoop MapReduce and Spark!

автор: tan6043

Oct 19, 2016

Very good hands-on experiences. Good combination of theory and practical tips.

автор: yash

Mar 25, 2017

Well this course provides awesome knowledge and the right way to get started

автор: Colin S

Jan 14, 2017

Very good intuition + introduction to hdfs, mapreduce and spark.

Thanks a lot !

автор: 로비새

Jun 23, 2018

This is good course for a beginner who wants to look through Hadoop Platform.

автор: Rafal B

Jun 24, 2016

Very good course - giving quickly insights what Map Reduce & Spark are about.

автор: Daniel P M

Nov 28, 2018

Es un curso muy agradable, los temas son muy interesantes y de gran ayuda...

автор: YEVHEN K

Jan 19, 2018

Good as a start point to get basic knowledge about HDFS, MapReduce and Spark

автор: Xuejin W

Nov 13, 2017

The course material is well designed and very easy to pick up for beginners.

автор: Nishit K

Feb 09, 2016

Found it very helpful. And both MapReduce and Spark teachers were very good.

автор: Adrien G

Jan 27, 2016

Very good and complete overview of the Hadoop Platform and its applications.

автор: Darpan k

Dec 29, 2015

Its a very good course to understand the architecture and working of Hadoop.

автор: Marcus C

Feb 08, 2016

this is great to get your hands dirty with your first Hadoop applications.

автор: Saravanan

Apr 01, 2019

This course is very simple to understand and good know all the concepts.

автор: Yu-Ting L

Nov 10, 2017

It is very useful to have an simple overview of Hadoop Platform. Thanks.

автор: Siddhartha B

May 15, 2017

Excellent course designed. Gives a clear idea on framework of Big Data.

автор: Junhui L

Apr 30, 2020

Just at the right level.

The last assignment is a little bit confusing.

автор: xiaoyong l

Apr 14, 2017

Well organized and easy to learn. Well worth the time and money spent.

автор: chintan p

Feb 24, 2019

Course is awesome. It has clear my idea about MapReduce , Spark jobs.

автор: Renzo A

Mar 18, 2018

Nice course to learn the basics about Apache Hadoop and Apache Spark

автор: Karthik K

Jan 12, 2016

Good Practicals in applying Big Data Technologies n sample big data.

автор: Daniel

Nov 03, 2017

A solid fundamental foundation for anyone getting into Big data