In the ever-expanding digital landscape, where data is generated at an unprecedented rate, the architecture of databases stands as the bedrock of efficient data management. With the rise of Big Data and Cloud technologies, alongside the integration of Artificial Intelligence (AI), the realm of database architectures has undergone a profound transformation.
This article delves into the intricate world of database architectures, exploring their adaptation to Big Data and Cloud environments while also dissecting the evolving impact of AI on their structure and functionality. As organizations grapple with the challenges of handling vast amounts of data in real time, the significance of robust database architectures becomes increasingly apparent. From the traditional foundations of Relational Database Management Systems (RDBMS) to the flexible solutions offered by NoSQL databases and the scalability of cloud-based architectures, the evolution continues to meet the demands of today's data-driven landscape.