Amsterdam Area
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  • Akka Realtime Predictor - Official Lightbend Activator

    Proof of concept for a real time predictor developed with full Akka Stack

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  • WASP

    - Present

    Wasp is a Data Ingestion platform for streaming analysis.
    It leverage OSS components to build an easy to manage environment and high performance/scalable applications. It's fully dockerized and it relies on Kafka, Spark and Akka.
    Wasp's main features are:
    - Architecture abstraction: it allows to build out of the box lambda and kappa architecture
    - Pluggable datastore ( HDFS, Cassandra, Elastic, Druid ) to store data.
    - Real Time API : you can easily publish a stream of data…

    Wasp is a Data Ingestion platform for streaming analysis.
    It leverage OSS components to build an easy to manage environment and high performance/scalable applications. It's fully dockerized and it relies on Kafka, Spark and Akka.
    Wasp's main features are:
    - Architecture abstraction: it allows to build out of the box lambda and kappa architecture
    - Pluggable datastore ( HDFS, Cassandra, Elastic, Druid ) to store data.
    - Real Time API : you can easily publish a stream of data after your transformations, using microservices.
    - Pluggable analysis: you can develop stream and batch business logic and plug it into wasp architecture forgetting scalability, performance and fault tolerance issues.
    - Admin Web Console: you can admin your data streams, building, starting, stopping and scheduling your pipegraphs ( a directed acyclic graph of blocks where you can transform, persist and publish data )
    - Real Time Web Analytics: where you can track your data using dashboard and visualization facilities

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