Lossless Data Compression Methods and Compression Performance Metrics - Webinar By EITAGlobal Shared by JamesRichard
The lesson will work through examples of Huffman coding and dictionary methods that fuel the popular dominant methods of Lemple and Ziv. Transform methods, such as the Lemple Ziv Welch provide advantages for compressing data with measurable periodicity. Closely related to data compression methods, data deduplication reduces the overall redundancy across one or more data storage systems. Applications of lossless data compression will be discussed and a survey of available data compression technologies will be covered. The speaker will present elements of his own research in data compression performance and tradeoffs.
Why should you Attend:The information age continues to yield more and more data. The Internet, Big Data, Cloud Computing, and data storage requirements are measured in ever-increasing scales of Terabytes, Petabytes, Exabytes, and Zettabytes. Does data compression provide a solution to stem this ever-expanding flood? Can you trust data compression? Doesn't it put your data “at risk”? Are some types of data more compressible than other data? How do the methods of lossless data compression (covered) differ from lossy data compression? Take away from this session a meaningful understanding of lossless compression, its limitations, and the tradeoffs between storage reduction and increased processing required to compact and re-expand data.
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