Bloom filters are an essential class of probabilistic data structures designed for rapid set membership testing while minimising memory usage. By utilising multiple hash functions, these structures ...

A multi-institutional team of researchers led by MIT has found a new way to speed up data retrieval in large databases using machine learning. The researchers used machine learning to build better ...

Take advantage of the open source in-memory database’s built-in data structures and commands to simplify metering at scale Roshan Kumar is senior product manager at Redis Labs. Metering is not just a ...

Path’s big 2.1 release today comes with a promise of another update coming shortly: version 2.1.1. The extra .1 on the end represents Path’s intention to add “hashing” to any contact data it collects.