An Architecture for Approximate Real-Time Query Optimization and Processing
Anna Yarygina, Boris Asenovich Novikov · 2013
High-level declarative scripting languages are considered to be an effective tool for speci-fication and execution of complex analytical data processing scenarios as they can hide the complexity of underlying heterogeneous pro-cessing environment. A growing demand to process huge amounts of data under real-time requirements as well as advanced similarity-based models raises the need in approximate processing. We discuss architecture of an extendable system for optimization and execution of approximate complex queries formulated in similarity-based declarative query language. 1