A Research on Data Lakes and their Integration Challenges

With the advent of IoT and big data, we observed a huge variety of types of data (e.g. semi-structured data, conversational data, sensor data, photos, and videos) and sources (e.g. social networks, open data, webpages, and sensors). Data integration addresses the problem of reconciling data from different sources, with inconsistent schemata and formats, and possibly conflicting values. In this paper, I describe my PhD research topic: the enhancement of data integration, discovering new techniques capable of handling the peculiar characteristics of big data, and the study of novel frameworks and logical architectures to support the integration process.