You’ve got a few options: * Use a notebook tool such as Zeppelin, Jupyter, or Spark Notebook to write up some visualizations which update in time with your streaming batches * Use Spark Streaming to push your batch results to another 3rd-party system with a BI tool that supports realtime updates such as ZoomData or Power BI * Write your own using many of the tools that support a reactive model to push updates to a d3.js web front end
I’ve had the opportunity to work on all 3 of the options above and it just depends on your timeframe, requirements, and budget. For instance, the notebooks are good for engineers or data scientists but not something you’d necessarily put in front of a non-technical end-user. The BI tools on the other hand may be less customizable but more approachable by business users. Thanks, Silvio On 1/20/16, 2:54 PM, "patcharee" <patcharee.thong...@uni.no<mailto:patcharee.thong...@uni.no>> wrote: Hi, How to visualize realtime data (in graph/chart) from spark streaming? Any tools? Best, Patcharee --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org<mailto:user-unsubscr...@spark.apache.org> For additional commands, e-mail: user-h...@spark.apache.org<mailto:user-h...@spark.apache.org>
