Track Highlight – IoT and Streaming Analytics at DataWorks Summit Melbourne!

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センサーと接続デバイスの急速な増殖はデータの急増に油を注いでいます。ストリーミングデータは、アルゴリズムが不正検知や株価予測などのアプリケーションに不可欠なデータの新しいパターンに動的に適応するのを可能にします。リアルタイムの機械学習モデルをデータストリームに展開することで、以前は可能でなかった洞察や相互作用を可能にします。

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!

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