Evolution of Data Architectures The evolution of data architectures has been driven by the increasing volume, variety, and velocity of data in today’s digital age. Over the years, from traditional relational databases to distributed computing, NoSQL databases, cloud computing, and real-time processing, data architectures have continuously evolved to meet the demands of modern data-driven organizations. This write-up aims to provide an overview of the data architecture evolution. Relational Databases In the 1980s and 1990s, relational databases and SQL language became the standard storage technology for enterprise applications.

Data sharing Data sharing is the practice of making data resources available between entities, such as organizations, applications, or individuals, while preserving data integrity. Sharing data facilitates collaboration and information exchange between different parties, enabling them to access and utilize data for various purposes. Benefits of data sharing Data sharing offers numerous benefits, including enhanced collaboration, innovation, efficiency, and decision-making. Sharing data enables new business opportunities and the evolution of the data-driven business model.