On-demand Webinar

Streaming Analytics for IoT with Apache Spark

Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time.

Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics.  
 
Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback.

The webinar will cover the following:

  • Generic IoT application blueprint
  • Case studies on IoT applications built on Apache Spark – connected car and industrial IoT
  • Demonstration of an easy, visual approach to building IoT Spark apps

Speakers:

Anand Venugopal,

AVP & Business Head, StreamAnalytix

Sameer Bhide,

Senior Solutions Architect, StreamAnalytix

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