Efficient Analytics on Encrypted Data
Gidon Gershinsky · 2018
Enterprises and non-profit organizations work with sensitive commercial or personal information, stored in an encrypted form due to business confidentiality requirements, GDPR regulations [4] and other reasons. Unfortunately, a straightforward encryption doesn't work well for modern columnar data formats, such as Apache Parquet [2], that are leveraged by analytic frameworks for acceleration of data ingest and processing.