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Вернуться к Graph Analytics for Big Data

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

4.2
Оценки: 865
Рецензии: 162

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

KM

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.

JT

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.

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1–25 из 161 отзывов о курсе Graph Analytics for Big Data

автор: Manoj D

Dec 30, 2018

Lots of efforts wasted to struggle with setup.

автор: Dimitri M

Feb 10, 2019

Some parts explain very scarcely the strengths of concepts like power laws. A bunch of ideas surely important but shown in a very confused way.

автор: Vincent R

Jun 02, 2018

This is the more challenging course of the Specialization. The course is not as well built as the other ones. Week 1 does not include any lessons; week 5 is very fastidious and time consuming. The course should mention up front to run the Cloudera VM with one CPU only to avoid getting wrong metro vertex results and crash the system when using the filter method. The author may want to consider using Python instead of Scala as Python was used in all the previous courses of the specialization.

автор: Leandro S

Mar 24, 2019

Nice introduction of multiple graph packages, however I missed some more applied cases, covering a real graph problem investigation (particularly how to associate Neo4j with GraphX).

автор: Miguel T

Sep 29, 2018

Very interesting and well explained, but little practical.

автор: Stefan K

Oct 30, 2018

The last week was hard to follow with it's handson exercise. There was a lot of code which wasn't explained very well. It would be better if it was explained in more detail what the code was doing.

автор: Charles S

Jun 11, 2018

The staff is not attending this course, and has not kept the forum up to date with notes on changes to the Neo4j Syntax requirements. The commands as given in the lectures, in the supplemental materials, and in the forums by the staff do not work. A few students have tried to post updates to the forum, but these too are out date, and more recent requests for help go unanswered.

автор: Оболенский И А

Jan 30, 2019

Excellent course for beginners in graph analytics.

автор: To P H

Feb 23, 2019

Fun course to learn

автор: David C

Dec 28, 2018

Thanks

автор: Sajal S R

Dec 16, 2018

Good Course

автор: Carlos M P M

Jul 18, 2018

Nice & complete. intuitive way to learn

автор: Jose L R

Oct 13, 2018

Great course!! Please update the Hands on!

автор: Fei T

Sep 12, 2018

So useful. As our company consider using this technique for modeling customer's behaviors, this course give me an overall introduction for graph analysis.

автор: Arnold J

Aug 19, 2018

beautiful

автор: David B

Sep 16, 2018

Very interesting

автор: Manikandan P

Oct 06, 2018

Very insightful course

автор: Roberto G C

Oct 05, 2018

Great course!!! excellent information, instructions and examples (including some troubleshooting that helps us to learn things simulating everyday challenges).

автор: Jamiil T A

Oct 28, 2018

I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....

автор: Pijush K G

Jun 16, 2018

Good course.

автор: Arthur-Lance

Oct 31, 2017

i feel power!!! thank's a lot. : )

автор: Lorie S

May 25, 2018

Amazing course. Looking forward to learn more.

автор: Leonardo M d O

Apr 04, 2018

It was the most difficult course

автор: Marcos

May 26, 2018

Useful.

автор: Jose A B A

Jul 02, 2017

Bastante interesante las bases de datos gráficas.