Question 18
What are some capabilities common to both “streaming processing” & “batch processing” when using Spark for big data?
Batch operates on data that typically has a static schema but can adjust tochanges in schema, and the same syntax will also help in streaming mode
Batch operates on a set of data elements taken together while streaming canalso operate on a set of data elements as determined by the window
Batch processing can assume data as fully specified and complete whilestreaming cannot make that assumption
Batch processing is typically high latency while streaming processing isnecessary for real-time latencies
Batch can operate on massively large data sets, while streaming can alsooperate on massively large data but expressed as streams