Scalable business process intelligence and predictive analytics for distributed architectures

Systems, methods, and computer program products for scalable, efficient business intelligence platforms and analytical processes are disclosed. In general, the inventive techniques, systems, and products include receiving data relating to a business or a business process; processing the received data according to a metadata model, wherein the processing comprises generating metadata corresponding to each of a plurality of data portions; partitioning the received data into the plurality of data portions based at least in part on the metadata corresponding to the data portion, and distributing each of the plurality of data portions and the metadata corresponding to each respective data portion across a plurality of resources arranged in a distributed architecture. The metadata model comprises characteristics descriptive of the data, the characteristics include semantic characteristics; extract, transform, load (ETL) characteristics; and usage characteristics. 公开了针对可扩展的、高效商业智能平台和分析过程的系统、方法以及计算机程序产品。般而言，发明性的技术、系统