1
Q
Why is data encoding important?
A
To serialize data for storage and transmission while preserving structure and meaning.
2
Q
What are some common data encoding formats?
A
JSON, XML, Protocol Buffers, Avro, Thrift.
3
Q
What is schema evolution?
A
The process of updating the format of data without breaking compatibility with older versions.
4
Q
What is the main benefit of using schemas with encoding formats like Avro or Protocol Buffers?
A
Schemas provide structure and help support compatibility across versions.
5
Q
What is message-passing dataflow?
A
A pattern in which components communicate by sending messages rather than direct calls.
