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.
About this Course
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 12시간 필요
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 12시간 필요
캘리포니아 샌디에고 대학교
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
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GRAPH ANALYTICS FOR BIG DATA의 최상위 리뷰
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.
Great course!!! excellent information, instructions and examples (including some troubleshooting that helps us to learn things simulating everyday challenges).
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.
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
Good Course to get introduced to Graph Analytics , Neo4j, Cypher Graph Query Language , GraphX through Spark. Really enjoyed hands-on exercises
Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.
very large and to some extent too informative in nature. requires full time classes to understand these concepts specially last parts.
A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.
Graphical analyses are more pleasing to understand trends and their reperessation. Excellent Neo4j and GraphX tools
Very interesting class, large applications possibilities, unfortunately the hands on machine wont work properly
I think that there is no doubt that Coursera is investing the best in to become the best.\n\nCheers and Thanks
I learned a lot about graph techniques and tools for application to big data problems. Thank you! - Steve
Really good material. Examples were very helpful. The Cloudera VM and practice was the cherry on the cake
Skims the subject in some cases but overall very good, I enjoyed the Neo4J class it was very informative
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