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Explain the difference between batch and streaming data processing in Data Fusion.

Spark/Big Datahard0.7 min readPremium
Frequency
Low
Asked at 2 companies
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
AareteFreecharge
Key Concepts Tested
bigquerypartitionwindow
Expert AnswerPremium
140 wordsInterview-ready
Batch processes bounded datasets in discrete runs; streaming processes unbounded data with continuous execution. **Why the distinction matters**: Batch has predictable cost (run N times, pay N × job cost); streaming has always-on cost and state management. **Data Fusion context**: Batch templates (e.g., JDBC to BigQuery) are scheduled; streaming uses Pub/Sub or Kafka sources....
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