Prepare for a Kafka interview by learning the concepts associated with replication, consumer groups, batch processing, compression, and more.
The distributed architecture of Apache Kafka allows it to handle incoming information of greater quantity and complexity. As an outcome, Kafka is extremely scalable with no negative effects on unavailability. Anatolii Stepaniuk, a Senior Software Developer, created the Apache Kafka Architecture certification course, which Udemy is offering to participants who want to learn more about the advanced concepts and Kafka-related approaches to be prepared for Kafka job interviews.
Apache Kafka Architecture online classes offer more than 2.5 hours of digital lectures accompanied by 24 downloadable learning resources which cover topics like data replication, batching, compression, static membership, log compaction, rebalance protocols, and delete cleanup policies, consumer group abstraction, and more. By the end of the Apache Kafka Architecture online course, participants will have acquired the knowledge and abilities necessary to plan and create cutting-edge, scalable distributed systems utilizing Kafka.
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Udemy
After completing the Apache Kafka Architecture online certification, participants will gain a detailed understanding of the fundamentals of Apache Kafka as well as will acquire knowledge of the Kafka architecture. Participants will learn about rebalance protocols such as eager rebalance and incremental cooperative rebalance as well as the functionalities associated with Kafka producer API, Kafka consumer API, and Kafka clusters. Participants will learn about concepts like log composition, batching, compression, and data replication as well as will acquire the knowledge of delete cleanup policy and static membership.
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Mr Anatolii Stepaniuk Senior Software Developer Freelancer
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