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.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
来自GRAPH ANALYTICS FOR BIG DATA的热门评论
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.
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.
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 ....
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).
The Course was amazing. It was very much helpful in getting the insights and developed my skills in analyzing the data using Graphs. Thank You Coursera and UC, San Diego Team.
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.
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.
Graphs are quite interesting and in many cases offer a better representation than relational databases.\n\nOne can gain lots of insights looking at graphs.
关于 大数据 专项课程