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Date: Fri, 2 Oct 2015 04:47:35 -0700 (MST)
From: Sureshv <suresh.kumar@transerainc.com>
To: user@spark.apache.org
Message-ID: <1443786455120-24908.post@n3.nabble.com>
Subject: Compute Real-time Visualizations using spark streaming
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Hi, 

 I am new to Spark and I would like know how to compute (dynamically)
real-time visualizations using Spark streaming (Kafka).

Use case : We have Real-time analytics dashboard (reports and dashboard),
user can define report (visualization) with certain parameters like, refresh
period, choose various metrics (segment variables & profile variables). 

We should compute only visualizations those are in use (users are accessing)
with events coming from kafka streams using Spark streaming. 

Solution : One way of doing is compute visualizations for every incoming
message and write back into result streams and application which consume the
processed data/result streams. 

I would like to know is there any better approach? Please advice me here.

Thanks,
Suresh


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