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University of California San Diego

Graph Analytics for Big Data

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.

状态:Analytics
状态:Scalability
课程小时

精选评论

RC

5.0评论日期:Oct 4, 2018

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

SC

4.0评论日期:Apr 2, 2020

Generally a good course. However, the last week was just a "look and follow" week. The only thing I take from this week is that things are possible with Spark, but that's it.

JA

5.0评论日期:Oct 27, 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 ....

MP

5.0评论日期:Apr 16, 2020

great introduction to networks and exposure to software tools that can be used to graph and analyze large scale graph data.

ZL

5.0评论日期:May 4, 2017

This is one of the toughest and most interesting course at it deals with big data in graph database. Highly recommend this course to those who wants to know graph database.

AK

4.0评论日期:Nov 22, 2020

Interesting course but Week 5 was exceptionally buggy. Is that on purpose to help us learn about small errors that can creep in OR has the course not been updated for quite some time?

AK

5.0评论日期:Oct 18, 2016

Good Course to get introduced to Graph Analytics , Neo4j, Cypher Graph Query Language , GraphX through Spark. Really enjoyed hands-on exercises

LK

5.0评论日期:Jul 20, 2017

Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.

JC

4.0评论日期:Dec 8, 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.

ST

5.0评论日期:Aug 12, 2020

The week 5 module was difficult to digest completely, it could be made better with better explanations of what is happening

LS

4.0评论日期:Mar 23, 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).

KM

5.0评论日期:Dec 16, 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.

所有审阅

显示:20/244

Manoj Dhoke
1.0
评论日期:Dec 29, 2018
Charles Stucki
1.0
评论日期:Jun 10, 2018
Stefan Koster
3.0
评论日期:Oct 30, 2018
Vahid Nia
2.0
评论日期:Nov 8, 2020
Akshay Vyas
5.0
评论日期:Jul 17, 2017
Dimitri Maiorano
3.0
评论日期:Feb 10, 2019
Miguel Toledano
3.0
评论日期:Sep 29, 2018
Min Ming Zhou
2.0
评论日期:Jan 17, 2018
Anton Varekamp
1.0
评论日期:Aug 14, 2017
Katherine
1.0
评论日期:May 21, 2017
Jamiil Toure Ali
5.0
评论日期:Oct 28, 2018
Alexander Wahlstrom
5.0
评论日期:Sep 8, 2020
john thiels
5.0
评论日期:Oct 26, 2016
Vincent Roquebert
4.0
评论日期:Jun 2, 2018
Allyson Dias de Lima
4.0
评论日期:Feb 3, 2022
Leandro Simoes
4.0
评论日期:Mar 24, 2019
Ashish Sen
3.0
评论日期:Apr 8, 2021
Edward de Ryckman de Betz
2.0
评论日期:Jan 13, 2022
Rita Brugarolas Brufau
1.0
评论日期:Feb 21, 2022
Lara Eido
1.0
评论日期:May 3, 2020