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!

#ETL #DataEngineering #Streaming #Batch