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  • AI, ML & Data Engineering Follow 1075 Followers

    Apache Kafka: Ten Best Practices to Optimize Your Deployment

    by Ben Bromhead Follow 0 Followers on  Oct 19, 2018

    Author Ben Bromhead discusses the latest Kafka best practices for developers to manage the data streaming platform more effectively. Best practices include log configuration, proper hardware usage, Zookeeper configuration, replication factor, and partition count.

  • AI, ML & Data Engineering Follow 1075 Followers

    Democratizing Stream Processing with Apache Kafka® and KSQL - Part 2

    by Robin Moffatt Follow 2 Followers on  Sep 07, 2018

    In this article, author Robin Moffatt shows how to use Apache Kafka and KSQL to build data integration and processing applications with the help of an e-commerce sample application. Three use cases discussed: customer operations, operational dashboard, and ad-hoc analytics.

  • AI, ML & Data Engineering Follow 1075 Followers

    Democratizing Stream Processing with Apache Kafka and KSQL - Part 1

    by Michael Noll Follow 0 Followers on  Jun 15, 2018 1

    In this article, author Michael Noll discusses the stream processing with KSQL, the streaming SQL engine for Apache Kafka. Topics covered include challenges of stateful stream processing and how KSQL addresses them, and how KSQL helps to bridge the world of streams and databases through streams and tables.

AI, ML & Data Engineering Follow 1075 Followers

Traffic Data Monitoring Using IoT, Kafka and Spark Streaming

Posted by Amit Baghel Follow 2 Followers on  Sep 28, 2016

Internet of Things (IoT) is an emerging technology. One of the areas of IoT is the connected vehicles. In this article, we'll use Spark and Kafka to analyse and process IoT connected vehicle's data. 16

AI, ML & Data Engineering Follow 1075 Followers

Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines

Posted by Dylan Raithel Follow 8 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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