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Kafka episodes

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Curated by
stephanieboncich

Created February 17, 2022

Updated March 11, 2022

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  1. From change data capture (CDC) to business development, connecting Apache Kafka® environments, and customer success stories, Graham Hainbach discusses the possibilities of data integration with Kafka and Attunity using Replicate, Compose, and E
  2. Raghav Mohan joins Scott Hanselman to talk about Apache Kafka on HDInsight, which added the open-source distributed streaming platform last year to complete a scalable, big data streaming scenario on Azure. The service has come a long way since
  3. Defining KafkaApache Kafka is an open-source stream-processing software platform which aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Anna McDonald, one of the Apache Kafka experts we speak w
  4. This episode is also available as a blog post: http://thechandanrajpurohit.in/2021/01/10/what-is-apache-kafka/
  5. Learn more:Apache KafkaConfluentPivotalFollow everyone on Twitter:Intersect (@IntersectIT)Neha Narkhede (@nehanarkhede)Derrick Harris (@derrickharris)Apache Kafka (@apachekafka)Confluent (@confluentinc)Pivotal (@pivotal)
  6. Learn more:Apache KafkaConfluentPivotalFollow everyone on Twitter:Intersect (@IntersectIT)Neha Narkhede (@nehanarkhede)Derrick Harris (@derrickharris)Apache Kafka (@apachekafka)Confluent (@confluentinc)Pivotal (@pivotal)
  7. Raghav Mohan joins Scott Hanselman to talk about Apache Kafka on HDInsight, which added the open-source distributed streaming platform last year to complete a scalable, big data streaming scenario on Azure. The service has come a long way since
  8. Apache Kafka is a publish-subscribe messaging system rethought as a distributed commit log.Kafka serves as the central repository for data streams in a distributed system.Guozhang Wang is an engineer at Confluent, which offers a stream data
  9. #97: A chess player knows to write down their moves so they can replay their matches and learn from them. Having the ability to replay those matches also gives you the ability to start over and see where something goes wrong. In today's episode
  10. Jeff Meyerson talks to Jun Rao, a software engineer and researcher (formerly of LinkedIn). Jun has spent much of his time researching MapReduce, scalable databases, query processing, and other facets of the data warehouse. For the past three ye
  11. Welcome to our 2nd episode. This is the first part of a two part series where we walk through a stateful distributed system.  Join us as we take apart the famous Apache Kafka so as to look under the hood and understand more of the amazing engin
  12. Can Kafka be my database? Jun Rao, a co-founder at Confluent, the rocket-ship startup behind Apache Kafka®, answers this question and more in a round of database bingo with The Data Wranglers Joe Hellerstein and Jeffrey Heer. Rao discusses be
  13. Welcome to our 3nd episode. This is the second part of a two part series where we walk through a stateful distributed system. Join us as we take apart the famous Apache Kafka so as to look under the hood and understand more of the amazing engin
  14. Learn how to achieve the DataOps objectives of improved efficiency and data quality by migrating to a streaming architecture based on Apache Kafka.
  15. In this video I go through the new features in Apache Kafka 2.7, it is very interesting to see the amount of work Apache Kafka is doing to get closer to removing ZooKeeper *  [KAFKA-9893] - Configurable TCP connection timeout and improve th
  16. An airhacks.fm conversation with Viktor Gamov (@gAmUssA) about:Russian, pirate 286 intel knock-off,starting with BASIC,typing programs from magazines,fun with computer graphics primitive in BASIC,Flash animations with ActionScript,drawin
  17. ⭐ Nesse episódio, apresentamos o Apache Kafka, plataforma distribuída de stream e mensageria que traz uma performance invejável.⠀⠀⠀⠀⠀⠀⠀⠀⠀🎙 Com Luiz Gonçalves, Yanna Gonzaga, Clécius Martinkoski🎧 Links e referências: https://podtag.com.br/s
  18. MLOps Meetup #34! This week we talk to Kai Waehner about the beast that is apache kafka and how many different ways you can use it!// Key takeaways:-Kafka is much more than just messaging-Kafka is the de facto standard for processing huge vo
  19. Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by thes
  20. Jay Kreps is the Co-founder and CEO of Confluent, an open source real-time data streaming platform powered by Apache Kafka. Jay is the author of numerous open source projects, including Apache Kafka and Apache Samza. In this episode, Jay discus
  21. Not too long ago, open-source technology projects were pursued in large part for altruistic reasons—they were “almost religious,” and not viewed as businesslike or potentially profitable, says Jay Kreps, the founder and CEO of newly public data
  22. Neo4j Connectors page: neo4j.com/product/connectorsNeo4j Connector for Apacha Kafka: neo4j.com/labs/kafka/Neo4j Connector for Business Intelligence: neo4j.com/bi-connector/Neo4j Connector for Apache Spark: neo4j.com/product/connectors/apache-sp
  23. Interacting with Billions of National Water Model (NWM) Predictions using Apache Kafka and Arrow with MapD – Aaron Williamshttps://feathercastapache.files.wordpress.com/2018/09/terrasse-1430pm-interacting1.mp3
  24. Do you use Kafka but find yourself limited by what Kafka allows you to do with your data? Would you like to enrich, aggregate, and alert on your data as it moves through Kafka, but can’t figure out how? You can overcome these obstacles by integ

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