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kafka
51 shorts across 1 course, in learning order
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Results · 6 for “Data aggregation fundamentals”
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⚡ One HLD concept. 60 seconds. Interview ready
Kafka Stateful Stream Processing: How Does It Remember?
Kafka uses state stores to remember previous events in stateful stream processing.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Retention vs Compaction: History or Latest State?
Kafka uses retention to keep historical data and compaction to keep the latest state.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Fetch Limits vs Poll Records: Understanding the Difference
Fetch limits control data size from Kafka, while poll records limit processed records.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Streams Windowing: Tumbling vs Hopping Windows Explained
Kafka Streams uses tumbling and hopping windows for time-based data aggregation.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Consumer Fetch & Batching: Boosting Throughput
Kafka consumers can fetch data in batches to improve throughput and reduce latency.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Streams vs Consumer: Choosing the Right Tool
Kafka Streams offers higher-level abstractions, while Kafka Consumer provides direct control.
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Not tagged “kafka”, but closely connected
