Data Engineering journal

A Data Engineering journal is a scholarly publication that shares research, methods, and insights related to designing, building, and maintaining systems that collect, store, and process large amounts of data. It focuses on ways to efficiently handle complex data workflows, improve data quality, and enable data-driven decision-making across industries. Professionals and researchers contribute articles to advance understanding of best practices, innovative technologies, and architecture solutions that support reliable and scalable data infrastructure. Essentially, it’s a specialized forum for discussing and advancing the technical aspects of managing big data effectively.