What is data payload optimization and why is it important?
Data payload optimization refers to the process of reducing the size of data being transmitted over a network. It's important because it improves performance, reduces latency, and saves bandwidth.
What techniques can be used for optimizing data payloads?
Common techniques include data compression, minimizing data redundancy, and using efficient data formats like JSON or Protocol Buffers.
How does data compression work?
Data compression works by encoding information using fewer bits than the original representation, which reduces the overall size of the data.
Can you give an example of a data format that is optimized for payload?
Sure! Protocol Buffers is a language-neutral, platform-neutral extensible mechanism for serializing structured data, which is more efficient than JSON.
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