Volver a Graph Analytics for Big Data

4.2

707 calificaciones

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146 revisiones

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....

por 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.

por 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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145 revisiones

por Dimitri Maiorano

•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.

por ANANT KUMAR

•Feb 07, 2019

Can be improved further by including rigorous Hands-on exercises

por Оболенский Иван Александрович

•Jan 30, 2019

Excellent course for beginners in graph analytics.

por Kartik Kumar

•Dec 31, 2018

A lot of unanswered doubts. And a lot of improperly explained concepts and codes.

por Manoj Dhoke

•Dec 30, 2018

Lots of efforts wasted to struggle with setup.

por David Chang

•Dec 28, 2018

Thanks

por Adam Garcia

•Dec 21, 2018

Within the usual pedagogical standards, it is a very good course

por Sajal Sinha Roy

•Dec 16, 2018

Good Course

por Tejprakash Uppu

•Dec 10, 2018

course is well designed and structured.

por John Canessa

•Dec 09, 2018

Graphs are quite interesting and in many cases offer a better representation than relational databases.

One can gain lots of insights looking at graphs.

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