ETL In-Flight vs At Rest
In-Flight (Streaming):
Transform while data moves
Real-time results
Higher cost, lower latency
Kafka, Flink, Spark Streaming
At Rest (Batch):
Store first, transform later
Scheduled processing
Lower cost, higher latency
SQL, dbt, Spark Batch
Real-time or cost-effective? Your call!
