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In this episode of PithorAcademy Presents: Deep Dive, we dive into Kafka Consumers—the components responsible for reading and processing data from Kafka topics. Without consumers, Kafka is just storage; consumers bring data to life.
We cover:
Polling Model – how consumers fetch records from Kafka
Offsets as Bookmarks – tracking position in a topic
Consumer Basics – how groups enable scalability and fault tolerance
Commit Offsets – ensuring data isn’t lost or reprocessed unnecessarily
By the end, you’ll understand how consumers enable real-time data processing, analytics, and microservices, making Kafka the backbone of event-driven systems at companies like Netflix, Uber, and LinkedIn.
🔗 Listen on Your Favorite Platform:
Spotify: https://open.spotify.com/show/4WwstTvCBb18IKyqGVHYAU
Amazon Music: https://music.amazon.com/podcasts/0c4eac7c-e695-49b4-b825-595fface346b/pithoracademy-presents-deep-dive
YouTube Music: https://music.youtube.com/channel/UCMO9B2qiqsyC3ui4Vk4P7Ig
Apple Podcasts: https://podcasts.apple.com/us/podcast/pithoracademy-presents-deep-dive/id1827417601
JioSaavn: https://www.jiosaavn.com/shows/pithoracademy-presents-deep-dive/1/J4wBuNvwFro
🌐 Connect with Us:
Website: https://www.pithoracademy.com/
Facebook: https://www.facebook.com/PithorAcademy
Instagram: https://www.instagram.com/pithoracademy/
LinkedIn: https://www.linkedin.com/company/pithoracademy
#Kafka #ApacheKafka #KafkaConsumers #KafkaForBeginners #KafkaTutorial #KafkaPolling #KafkaOffsets #KafkaConsumerGroups #EventStreaming #RealTimeData #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
By PithorAcademyIn this episode of PithorAcademy Presents: Deep Dive, we dive into Kafka Consumers—the components responsible for reading and processing data from Kafka topics. Without consumers, Kafka is just storage; consumers bring data to life.
We cover:
Polling Model – how consumers fetch records from Kafka
Offsets as Bookmarks – tracking position in a topic
Consumer Basics – how groups enable scalability and fault tolerance
Commit Offsets – ensuring data isn’t lost or reprocessed unnecessarily
By the end, you’ll understand how consumers enable real-time data processing, analytics, and microservices, making Kafka the backbone of event-driven systems at companies like Netflix, Uber, and LinkedIn.
🔗 Listen on Your Favorite Platform:
Spotify: https://open.spotify.com/show/4WwstTvCBb18IKyqGVHYAU
Amazon Music: https://music.amazon.com/podcasts/0c4eac7c-e695-49b4-b825-595fface346b/pithoracademy-presents-deep-dive
YouTube Music: https://music.youtube.com/channel/UCMO9B2qiqsyC3ui4Vk4P7Ig
Apple Podcasts: https://podcasts.apple.com/us/podcast/pithoracademy-presents-deep-dive/id1827417601
JioSaavn: https://www.jiosaavn.com/shows/pithoracademy-presents-deep-dive/1/J4wBuNvwFro
🌐 Connect with Us:
Website: https://www.pithoracademy.com/
Facebook: https://www.facebook.com/PithorAcademy
Instagram: https://www.instagram.com/pithoracademy/
LinkedIn: https://www.linkedin.com/company/pithoracademy
#Kafka #ApacheKafka #KafkaConsumers #KafkaForBeginners #KafkaTutorial #KafkaPolling #KafkaOffsets #KafkaConsumerGroups #EventStreaming #RealTimeData #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive