Data Federation: The Unified View | Community Health
Data federation is a methodology that enables the integration of data from disparate sources, making it possible to access and manage data in a unified view. Th
Overview
Data federation is a methodology that enables the integration of data from disparate sources, making it possible to access and manage data in a unified view. This approach has been around since the early 2000s, with pioneers like IBM and Oracle leading the charge. However, with the rise of big data and cloud computing, data federation has become a critical component in modern data architectures. According to a report by Gartner, the data integration market is expected to reach $4.5 billion by 2025, with data federation being a key driver of this growth. Despite its benefits, data federation also raises concerns around data governance, security, and compliance, with 75% of organizations citing these as major challenges. As data continues to grow in volume and complexity, the need for effective data federation strategies will only continue to increase, with experts like Dr. Barry Devlin and Dr. David McComb advocating for a more holistic approach to data management.