Bas Ketsman,Paraschos Koutris
Modern Datalog Engines
Modern Datalog Engines
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Excellent- More about Modern Datalog Engines
Datalog is a declarative query language that extends relational algebra with recursion, used to express modern data management tasks. This monograph provides an overview of the architecture and technical characteristics of various Datalog engines, including common architectural decisions, evaluation methods, data structures, and layouts. It also discusses how modern Datalog engines scale to massively parallel environments and opportunities for future research and applications.
Format: Paperback / softback
Length: 82 pages
Publication date: 29 June 2022
Publisher: now publishers Inc
The revival of interest in Datalog, a declarative query language that combines relational algebra with recursion, has been witnessed in recent years by both the industry and the research community. This language is widely employed to address a diverse range of modern data management challenges, including data integration, declarative networking, graph analysis, business analytics, and program analysis. The extensive research in this field has led to the development of numerous Datalog engines, each with its own set of technical specifications and capabilities.
In this monograph, the authors offer a comprehensive overview of the architecture and technical features of these Datalog engines. They identify common architectural choices and evaluation methodologies, as well as data structures and layouts employed to enhance query execution speed. The authors also explore how Datalog engines differ in their specialization to handle workloads with distinct characteristics. A significant focus of this monograph is on the scalability of modern Datalog engines to support the processing of massive datasets, which is crucial in today's data-driven world.
The authors conclude by highlighting potential areas for future research and exploring new applications for Datalog engines. This monograph serves as a valuable resource for researchers, practitioners, and industry professionals seeking to leverage the power of Datalog in their data management endeavors.
Weight: 129g
Dimension: 234 x 156 (mm)
ISBN-13: 9781638280422
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