In this episode of PithorAcademy Presents: Deep Dive, we unpack Kafka Consumer Groups—the key mechanism that makes scalable and fault-tolerant data consumption possible in Apache Kafka.We cover:Parallel Consumption – how consumer groups scale data processingRebalancing – redistributing load when consumers join or leaveGroup Offsets – tracking progress across consumer groupsBy the end, you’ll understand how consumer groups allow Kafka to achieve high availability, horizontal scalability, and reliable real-time event streaming—making them essential for production-grade systems used at companies like Netflix, Uber, and LinkedIn.🔗 Listen on Your Favorite Platform:Spotify: https://open.spotify.com/show/4WwstTvCBb18IKyqGVHYAUAmazon Music: https://music.amazon.com/podcasts/0c4eac7c-e695-49b4-b825-595fface346b/pithoracademy-presents-deep-diveYouTube Music: https://music.youtube.com/channel/UCMO9B2qiqsyC3ui4Vk4P7IgApple Podcasts: https://podcasts.apple.com/us/podcast/pithoracademy-presents-deep-dive/id1827417601JioSaavn: https://www.jiosaavn.com/shows/pithoracademy-presents-deep-dive/1/J4wBuNvwFro🌐 Connect with Us:Website: https://www.pithoracademy.com/Facebook: https://www.facebook.com/PithorAcademyInstagram: https://www.instagram.com/pithoracademy/LinkedIn: https://www.linkedin.com/company/pithoracademy#Kafka #ApacheKafka #KafkaConsumers #KafkaConsumerGroups #KafkaForBeginners #KafkaTutorial #KafkaOffsets #KafkaRebalancing #EventStreaming #RealTimeData #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive

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