Data Fabric is an amalgamation of various database system technologies, offering extensive research opportunities for deploying end-to-end data management platform-based solutions. These platforms have seen advancements in middleware, advanced and powerful ETL pipelines, and generative AI-supported data pipelines with unifed storage and compute to establish compliance and governance and reduce latency. Deployed systems using technologies such as data mesh, data lakes, data warehouses, and cloud databases serve as data sources, and the data fabric solution manages data, query, and analytics pipelines by leveraging distributed computing capabilities and dynamically routing queries for optimal performance without centralizing data storage. Understanding the interconnections (technology and applications) among source systems, data fabric, domain, and application is crucial for establishing correct and complete data fabric solutions for user applications. This paper presents a holistic view of data fabric technologies and addresses the importance of understanding the interconnections among source data systems, data fabric, domain, and application, focusing on metadata and application development. For metadata, we envisage an ER model solution to provide an overall conceptual data landscape for the underlying data systems for a data fabric.
This tutorial introduces the concept of Spatial Conceptual Modeling and MM-AR, a new web-based, 2D/3D metamodeling platform. It covers the prototypical implementation of MM-AR and the Augmented Reality Workflow Modeling Language (ARWFML) together with use cases and a hands-on session.
Ontology-based reasoners are crucial for knowledge representation and reasoning across various domains, including healthcare and finance, as they facilitate informed decision-making. This tutorial will guide participants through key performance metrics, experimental design strategies, and data considerations required for effective benchmarking, equipping them with the knowledge to evaluate and enhance the capabilities of the reasoners.
