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\nApache Kafka - Real-time Stream Processing (Master Class) - Kafka Consumer - Scalability, Fault tolerance and Missing Features\n

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\nIn this lecture, we will take our discussion on Kafka Consumers further, and talk about consumer scalability, fault tolerance, and offset management. I will also walk you through some complex scenarios to help you understand why using...\nIn this lecture, we will take our discussion on Kafka Consumers further, and talk about consumer scalability, fault tolerance, and offset management. I will also walk you through some complex scenarios to help you understand why using Kafka Consumers would be a challenge for stream processing.

This clip is from the chapter \"Enter the Stream Processing\" of the series \"Apache Kafka - Real-time Stream Processing (Master Class)\".This section is about Stream Processing in Apache Kafka, Creating Streams topology, Kafka Streams Architecture and so on.\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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13:45
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Grade
Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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tolerance, scale, time
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Additional Tags

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kafka, consumer, -, scalability, fault, and, missing, features, consumer group, store id, total sale, current offset, committed offset, enable autocommit, remote database, consumer fails, reading topic, consumer process, assigning partitions, kafka topic, offset, earlier, process, crashed, processed, partitions, 10 partitions, group, topic, messages, question, workload, failure, restarts
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Classroom Considerations

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Best For: Explaining a topic
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