A Big Data for Apache Cassandra

Abstract

Apache prophetess may be a leading distributed info of alternative once it involves massive information management with zero period, linear quantifiability, and seamless multiple information center preparation. With progressively wider adoption of prophetess for on-line dealing process by many Web-scale firms, there is a growing would like for a rigorous and sensible information modeling approach that ensures sound and economical schema style. This work i) proposes the primary query-driven massive information modeling methodology for Apache prophetess, ii) defines vital information modeling principles, mapping rules, and mapping patterns to guide logical information modeling, iii) presents visual diagrams for prophetess logical and physical information models, and iv) demonstrates a informationmodeling tool that automates the whole data modeling method.