DataWorksSummit @DataWorksSummit May 23
The rapid proliferation of sensors and connected devices is fueling an explosion of data. Streaming data allows algorithms to dynamically adapt to new patterns in data, which is critical in applications like fraud detection and stock price prediction. Deploying real-time machine learning models in data streams enables insights and interactions not previously possible.
At DataWorks Summit, we strive to bring you the latest in technology and innovation. In this track, you’ll learn how to apply machine learning to capture perishable insights from streaming data sources and how to interface with devices at the “jagged edge.” Sessions present new strategies and best practices for real-time data ingestion and analysis. Presenters will show how to use these technologies to develop IoT solutions and how to combine historical with streaming data to build dynamic, real-time predictive systems for actionable insights.
Some sessions that you may want to attend in this track include:
- Curing Kafka Blindness – Streams Messaging Manager
- The First Mile – Edge and IoT Data Collection with Apache NiFi and MiNiFi
- Dataflow Management from Edge to Core with Apache NiFi
- Using Spark Streaming and NiFi for the next generation of ETL in the enterprise
Remember, prices will go up on January 1, 2019 so be sure to grab your early bird tickets now!