Spark and Spark Streaming unit testing
Big data engineer leading @allegro real-time, highly scalable and fault-tolerant data ingestion platform. It processes a few billion events every day with e2e latency below one minute. When you develop a distributed system, it’s crucial to make it easy to test. Execute tests in a controlled environment, ideally from your IDE. Long develop-test-develop cycle for complex systems could kill your prod
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Apache BigData Europe 2016
Long-running Spark Streaming jobs on YARN cluster
