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Abstract: LinkedIn is building massive and complex data pipelines based on its Pub/Sub system, Kafka. Kafka uses topics to categorize data. The number of topics can grow organically depending on business needs, but Kafka itself doesn't have a mechanism to detect and delete unused topics.
Review streaming technologies like Event Hubs, Brooklin, TopicGC services & others.
Discuss how LinkedIn cleans up unused metadata for its Pub/Sub system & how TopicGC service can reduce Kafka pressure performance by at least 20%.
Upskill yourself and explore topics like Event Streaming with Kafka using Azure Event Hubs, Change Data Capture with Flink SQL and Brooklin & more.
Upgrade yourself & network with top industry players like Kasun Indrasiri, Microsoft; Shanthoosh Venkataraman & Hao Geng from LinkedIn.
24-26 April 2024
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Charleston
06-07 May 2024
LambdaConf returns in its first edition after the pandemic, reimagined as a multi-disciplinary developer conference featuring thought-provoking, entertaining, and mind-blowing talks and workshops that will forever change the way you write software.La
Starts in 16 days
Colorado
Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful.
Great place to network and connect with the Kafka Community.
Such a knowledgeable speaker should be given better equipment and microphone.
Founded in 2003 LinkedIn connects the world s professionals to make them more productive and successful With more than 850 million members worldwide including executives from every Fortune 500 company LinkedIn is the world s largest professional netw
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