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Отзывы учащихся о курсе Graph Analytics for Big Data от партнера Калифорнийский университет в Сан-Диего

Оценки: 1,070
Рецензии: 205

О курсе

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data. After completing this course, you will be able to model a problem into a graph database and perform analytical tasks over the graph in a scalable manner. Better yet, you will be able to apply these techniques to understand the significance of your data sets for your own projects....

Лучшие рецензии


Dec 17, 2017

Got an amazing introduction to Graph Analytics in Big Data. Technical issues with Neo4J made this course a little more challenging than necessary. But the introduction to Spark GraphX was invaluable.


Oct 26, 2016

This course was excellent as an introduction to Graph Analytics and using Neo4j. Not only did I learn a lot, I've been given tasks related to what I've learned in this course after finishing it.

Фильтр по:

76–100 из 205 отзывов о курсе Graph Analytics for Big Data

автор: MD A R A

Aug 27, 2020

Excellent !!!

автор: Diego M

Apr 04, 2017

Greate Course

автор: Pijush K G

Jun 16, 2018

Good course.

автор: Sajal S R

Dec 16, 2018

Good Course

автор: Srinivas B

Sep 26, 2016


автор: Phillip

Sep 07, 2020


автор: SASI V T

Aug 13, 2020


автор: Arnold J

Aug 19, 2018


автор: Anup K M

Apr 22, 2018

very good

автор: Hamada I M

Aug 08, 2017

very good

автор: Suraj P

Jun 18, 2020

nice one

автор: Marcos

May 26, 2018


автор: David C

Dec 28, 2018


автор: Hamora H

Aug 07, 2020


автор: Sridhar N

Aug 02, 2020


автор: gregorius a

Feb 21, 2019



Jul 24, 2020


автор: VISHNU T B

Jul 12, 2020



Jun 02, 2020


автор: Saravut R

May 16, 2020


автор: Manish

Mar 31, 2020


автор: Prashant S

Jan 27, 2018


автор: Dennis N

Jul 06, 2017

This is a really good course as an introduction to Graph analytics as well as the types of analyses and techniques used in graph analytics. There were a lot of new concepts for me and it was a lot of information to take in but it was explained very well. The hands-on exercises in Graphx introduced a lot of unfamiliar code and seemed very technical but I believe that it is needed. This portion of the course might require more time to digest but I believe it was absolutely necessary. All in all, loved it!

автор: Carlos V

Apr 30, 2019

It was very interesting and helpful. I would also love to know what are the current web-based approaches to graph analytics and visualisation. The course was very insightful but the week 5 is a bit dense on the number of tools that interact between themselves. I understand these complex platforms are more aimed to complex and dense scenarios such as those from Facebook and the like, and it could also be useful to learn small alternatives for smaller deployments. Very interesting though!

автор: Vidal A C L

Aug 20, 2018

I tried to finalize this exercises for weeks on end. I realized that my VM had two cores and whenever I tried to run the scala codes it got stock. This happened to me at least 10 times until I set my VM to have just one core, and it worked like a charm. I recommend to add a note to make sure the VM is set correctly because I was distracted trying to solve the issue.