What is real-time data compression and how does it work?
Real-time data compression is the process of reducing the size of data as it is being transmitted or processed, allowing for faster transmission and reduced storage needs.
What are some common algorithms used for real-time data compression?
Common algorithms include LZ77, Huffman coding, and Run-Length Encoding (RLE). Each has its own strengths depending on the data type.
Can you give me an example of where real-time data compression is used?
Sure! It's widely used in video streaming services to compress video data for faster delivery without sacrificing quality.
What are the benefits of using real-time data compression?
Benefits include reduced bandwidth usage, faster data transmission, and lower storage costs, which are crucial for applications like live streaming.
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