Compression is one of the data reduction methods of big data analysis, as reduced data size is computationally less expensive.

The compression pattern provides a mechanism in situations where the enterprise needs to access data without aggregation or mashups. The compression pattern can help with faster data access from data storage by having standardized formats (with the need to transform to a standardized format regardless of data sources). The advantage of having formats is to ensure data correctness and consistency.

The most popular compression data analysis platform is R, and one can explore in-memory compression with ReRams as well.