Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In cloud service code, ...

Data compression is critical to cloud and data streaming applications by reducing data transfer times and storage utilization. But compressing and decompressing data consumes processor resources and ...

Microsoft is open-sourcing its cloud-compression algorithm and optimized hardware implementation for cloud storage. Microsoft is contributing that algorithm, known as ""=""> plus the associated ...

Lossless compression is used for applications where the original data must be fully restored following decompression. Examples of applications requiring lossless compression include network data, ...

No one in the C-suite cares which coding language is chosen by engineers and data scientists — until the decision affects the bottom line. While many have made a case about why low-code is well-suited ...