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A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
The aim is to create a Batch/Streaming/ML/WebApp stack where you can test your jobs locally or to submit them to the Yarn resource manager. We are using Docker to build the environment and Docker-Compose to provision it with the required components (Next step using Kubernetes). Along with the infrastructure, We are check that it works with 4 projects that just probes everything is working as expected. The boilerplate is based on a sample search flight Web application.
Installation
If you are on mac then, you can use package manager like brew to install sbt on your machine:
This example is released under version 2.0 of the Apache License.
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A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
