Interactive Visualization of Streaming Data Powered by Spark

Behind the Scenes: Designing a Data DVR with Spark

Watch this recording of Chief Technologist, Ruhollah Farchtchi's, presentation at Spark Summit San Francisco.

Visualizing real-time data introduces new UX and usability challenges for any developer embedding analytics into applications, especially when the end users are business users and not data scientists. Watch this presentation by Zoomdata’s Ruhollah Farchtchi at the Spark Summit San Francisco to learn:

 

  • The new UX requirements for any enterprise visualizing real-time data
  • How streaming data lends itself to interaction with the stream
  • Why Zoomdata built a Data DVR capability using Spark and Spark Streaming
  • Design considerations that made Spark the choice over options like Storm
  • How pause, rewind, replay are implemented in Spark
  • The challenges of providing a consistent analytic experience with streaming and historical data
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