The technology that enables large-scale data processing in analytics is distributed computing. This involves breaking down data processing tasks across multiple machines or nodes, allowing for faster computation and analysis of vast datasets. Frameworks like Apache Hadoop and Apache Spark leverage this technology, enabling organizations to perform complex analyses on big data efficiently. This processing capability is crucial in deriving valuable insights and making informed decisions based on large-scale information.