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Beegee A.

Commented on Exploring Spark GraphFrames: Limitations and Poten...·Posted inAsk
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Beegee A.
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Hello, Rashif Rahman. Do you have a combination of tools that you prefer for analytics, semantics, and visualizations?

Commented on Exploring Spark GraphFrames: Limitations and Poten...·Posted inAsk
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Beegee A.
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Good to know Rashif Rahman. Thank you

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Avatar of Beegee A.Beegee A.
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Exploring Spark GraphFrames: Limitations and Potential Insights

Posting a question here that is more ephemeral and interactive: Does anyone use Spark Graphfames yet? With the 0.8.0 version it’s already showing nice potential. The constructor looks limited though with the parameters GraphFrame(v,e) Which appears to limit one type for vertices. e.g. I can easily represent a network of people but not a network of people and articles they read. I suppose I can consolidate various types of vertices in the same dataframe

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Commented on Insights on Neptune and Graph Databases: Seeking V...·Posted inAsk
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Beegee A.
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You guys are awesome. Thank you!

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Avatar of Beegee A.Beegee A.
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Insights on Neptune and Graph Databases: Seeking Validation

Hello folks. I’m very new to graph databases and I’d like to share some recent insights that I hope you can validate

  • Neptune is closer to a transactional database than an OLAP

  • Because of the transactional nature, graph analytics operations like PageRank, Label Propogations, forms of clustering tend to not be done in Neptune + Gremlin

  • For analytical operations

, it is more common to export Neptune data to Spark (EMR/Glue) and perform said operations there. Curious if any of these assumptions are incorrect before I tattoo them on my left arm.

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