Back to Graph Analytics for Big Data
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.

Status: Data Management
Status: Database Design
Course12 hours

Featured reviews

ZL

5.0Reviewed 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.

SC

4.0Reviewed 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

5.0Reviewed 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 ....

JT

5.0Reviewed Oct 25, 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.

NR

5.0Reviewed Apr 8, 2019

Some of the hands-on practices fail due to unknown issues but, after reading the blogs somebody finds solutions but nobody from courser or UC help or adv

JC

4.0Reviewed 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.

AK

5.0Reviewed Oct 18, 2016

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

SS

5.0Reviewed Feb 14, 2018

Excellent information and quite condensed. Since it is not examined, its ok for it to be condensed, for future reference we know where to get the information.

KM

5.0Reviewed 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.

LS

4.0Reviewed 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).

ST

5.0Reviewed Aug 12, 2020

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

MP

5.0Reviewed Apr 16, 2020

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

All reviews

Showing: 20 of 244

Manoj Dhoke
1.0
Reviewed Dec 30, 2018
Charles Stucki
1.0
Reviewed Jun 10, 2018
Stefan Koster
3.0
Reviewed Oct 30, 2018
Vahid Nia
2.0
Reviewed Nov 9, 2020
Akshay Vyas
5.0
Reviewed Jul 17, 2017
Dimitri Maiorano
3.0
Reviewed Feb 10, 2019
Miguel Toledano
3.0
Reviewed Sep 29, 2018
Min Ming Zhou
2.0
Reviewed Jan 17, 2018
Anton Varekamp
1.0
Reviewed Aug 14, 2017
Katherine
1.0
Reviewed May 21, 2017
Jamiil Toure Ali
5.0
Reviewed Oct 28, 2018
Alexander Wahlstrom
5.0
Reviewed Sep 8, 2020
john thiels
5.0
Reviewed Oct 26, 2016
Vincent Roquebert
4.0
Reviewed Jun 2, 2018
Allyson Dias de Lima
4.0
Reviewed Feb 3, 2022
Leandro Simoes
4.0
Reviewed Mar 24, 2019
Ashish Sen
3.0
Reviewed Apr 8, 2021
Edward de Ryckman de Betz
2.0
Reviewed Jan 13, 2022
Rita Brugarolas Brufau
1.0
Reviewed Feb 21, 2022
Lara Eido
1.0
Reviewed May 3, 2020