The article emphasizes the transformation in data management due to the increasing complexity of data in modern applications. While traditional relational databases have been foundational in organizing structured data, they are now inadequate for handling the diverse and dynamic nature of contemporary data, which includes structured, semi-structured, and unstructured formats like JSON, images, and sensor data. As businesses strive for real-time analytics and AI capabilities, contemporary solutions are becoming crucial to accommodate these evolving requirements.
In today's data-driven world, businesses face unprecedented challenges, compelling a transformation in data management to accommodate real-time analytics and support AI models.
While relational databases like Oracle and MySQL have traditionally supported structured data, they are increasingly insufficient for modern applications requiring diverse data management.
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