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  • AI, ML & Data Engineering Follow 696 Followers

    Migrating Batch ETL to Stream Processing: A Netflix Case Study with Kafka and Flink

    by Daniel Bryant Follow 584 Followers on  Feb 08, 2018

    At QCon New York, Shriya Arora presented “Personalising Netflix with Streaming Datasets” and discussed the trials and tribulations of a recent migration of a Netflix data processing job from the traditional approach of batch-style ETL to stream processing using Apache Flink.

  • AI, ML & Data Engineering Follow 696 Followers

    Traffic Data Monitoring Using IoT, Kafka and Spark Streaming

    by Amit Baghel Follow 0 Followers on  Sep 28, 2016 16

    Internet of Things (IoT) is an emerging disruptive technology and becoming an increasing topic of interest. One of the areas of IoT application is the connected vehicles. In this article we'll use Apache Spark and Kafka technologies to analyse and process IoT connected vehicle's data and send the processed data to real time traffic monitoring dashboard.

  • AI, ML & Data Engineering Follow 696 Followers

    Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines

    by Dylan Raithel Follow 9 Followers on  Aug 29, 2016

    InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline

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