Compare batch, streaming, and event-driven processing to select the right model for a business and technical need.
This deck is for anyone working on architecture related to Data Engineering, from beginner to intermediate.
You will work on points such as: In micro-batch processing, what uniquely distinguishes a micro-batch… · What core behavior defines a streaming processing architecture? · In event-driven architecture, what is the primary driver for componen….
1In micro-batch processing, what uniquely distinguishes a micro-batch from a classic batch?
Answer: Micro-batches group small time-sliced data sets processed very frequently.
2What core behavior defines a streaming processing architecture?
Answer: It continuously processes unbounded data as records flow through the system.
3In event-driven architecture, what is the primary driver for component interactions?
Answer: Components react asynchronously to events emitted by other components.
4For latency, what is the main difference between batch and micro-batch processing?
Answer: Micro-batch significantly lowers delay by running many small, frequent jobs.
5What is the key characteristic that defines batch processing architecture?
Answer: It processes large groups of accumulated data in scheduled, discrete runs.
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