A Schema Integration Approach for Big Data Analysis

A huge volume of data is analyzed by organizations to understand their clients and improve services. In many cases, these are stored separately in different database systems need be integrated before being used analysis tools or prediction applications. One the main tasks integration process definition global schema. Defining a schema context NoSQL demanding task since it necessitates dealing with variety issues, including lack local schemas, model heterogeneity, semantic heterogeneity. To address challenges, this work aims automatically define set databases heterogeneous systems. The contributions presented three phases: (1) Schema extraction where we schemas using unified representation. (2) matching which propose hybrid approach find attributes between schemas. (3) results. Covid-19 use case as well other benchmarks paper evaluate results proposed illustrate its effectiveness.