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KillrWeather, powered by DataStax, is about how to easily leverage and integrate Apache Spark, Apache Cassandra, and Apache Kafka for fast, streaming computations on time series data in asynchronous Akka event-driven environments.

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KillrWeather

KillrWeather, powered by DataStax, is about how to easily leverage and integrate Apache Spark, Apache Cassandra, and Apache Kafka for fast, streaming computations on time series data in asynchronous Akka event-driven environments.

About

KillrWeather is written in Scala. It uses SBT to build, similar to the Spark Cassandra Connector, which is used as a primary dependency for easy integration of Apache Spark and Apache Cassandra in a Scala or Java application.

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Setup

  1. Set up your development environment
  2. [Create the Cassandra Schema](Code & Schema Setup)
  3. The Code
  4. [The Time Series Data Model](Data Model)

About

KillrWeather, powered by DataStax, is about how to easily leverage and integrate Apache Spark, Apache Cassandra, and Apache Kafka for fast, streaming computations on time series data in asynchronous Akka event-driven environments.

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