The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

I'm sure Oracle's analytic functions can handle this, but I'm having a hard time wrapping my head around the syntax. If anyone has another solution, I'd be happy to hear it too.Here's a sample ...

Analytic functions, also known as holomorphic functions, form the cornerstone of complex analysis, widely studied for their elegant properties and deep connections in both pure and applied ...

It has an expanded set of SQL analytic functions, including the abilities to execute basic geospatial queries, event-series pattern matching, event-series joins, and advanced aggregate statistical ...

EnterpriseDB has announced the immediate availability of the latest version of its flagship Postgres Plus Advanced Server database. EnterpriseDB's Postgres Plus Advanced Server 8.4, which is built on ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

On Thursday, Teradata announced a new analytical database platform that combines more traditional SQL database capabilities with the "big data" power of MapReduce, the analytical framework at the ...

J. L. Walsh, On the Expansion of Analytic Functions in Series of Polynomials, Transactions of the American Mathematical Society, Vol. 26, No. 2 (Apr., 1924), pp. 155-170 ...