Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-02-04 Thread Simon Hewitt
Currently working on a large dataset where it would be much easier modelled as using Cypher. Very interested in this proposal On 2019/01/15 16:52:44, Xiangrui Meng wrote: > Hi all,> > > I want to re-send the previous SPIP on introducing a DataFrame-based graph> > component to collect more

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-25 Thread HJSC
Hi, I am a sw engineer that works with historical FAA and pilot data and think that Cypher will be a good addition to the Spark ecosystem. I support this proposal and am looking forward to giving it a try. Regards, HJ -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-23 Thread Alistair Blair
Hi Xiangrui +1 It would be fantastic to see this functionality. Regards Alistair. On 2019/01/15 16:52:44, Xiangrui Meng wrote: > Hi all,> > > I want to re-send the previous SPIP on introducing a DataFrame-based graph> > component to collect more feedback. It supports property graphs,

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-23 Thread Andrea Santurbano
+1 Graph analytics is now mainstream, and having Cypher first-class support in Spark would allow users to deal with highly connected datasets (fraud detection, epidemiology analysis, genomic analysis, and so on) going beyond the limits of joins when you must traverse a dataset. On 2019/01/15

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-23 Thread Andrea Santurbano
+1 Graph analytics is now mainstream, and having Cypher first-class support in Spark would allow users to deal with highly connected datasets (fraud detection, epidemiology analysis, genomic analysis, and so on) going beyond the limits of joins when you must traverse a dataset. On 2019/01/15

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-20 Thread Gourav Sengupta
Hi, this is fantastic and it will be great to have this. Also a place where we could use graph frames is for data lineage. You will see a 100% adoption of graph frames in case we can send data from catalyst to be stored somewhere as graphs of dependencies. In case you are including data lineage

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-20 Thread 木内満歳
I support the proposal. I am assisting various companies as a system integrator of Neo4j. There is several Japanese telecommunications companies quickly grasping the state of the network topology. In addition, many advertising censure companies associate enormous metadata and use it for marketing

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-17 Thread dusanz
I support this proposal - great idea, something that's been missing in Spark world. I'm a data architect working primarily in banking, many years of designing and tuning relational database systems, and more recently, wBig Data solutions, often including integration of old and new technologies.

Re: SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-17 Thread clarrob
Hi Xiangrui +1. I've been working with data and analytics technologies in the finance industry for many years, and I think that getting a well-established graph query language like Cypher to operate over SparkSQL-conformant property graphs would be relevant for lots of use cases where people

SPIP: DataFrame-based Property Graphs, Cypher Queries, and Algorithms

2019-01-15 Thread Xiangrui Meng
Hi all, I want to re-send the previous SPIP on introducing a DataFrame-based graph component to collect more feedback. It supports property graphs, Cypher graph queries, and graph algorithms built on top of the DataFrame API. If you are a GraphX user or your workload is essentially graph queries,