Data federation is a technique that allows organizations to access and analyze data from multiple sources without the need for data duplication or movement. This approach enhances data accessibility, empowers real-time analytics, and provides a unified view of enterprise data, ultimately improving decision-making processes. Leveraging data federation can significantly streamline operations and reduce overhead costs associated with traditional data integration methods.

The rise of AI databases is transforming the landscape of real-time applications by enabling faster data processing and analytics. These databases are specifically designed to handle the unique demands of AI workloads, allowing businesses to leverage real-time insights and improve decision-making. As AI continues to evolve, the integration of these databases will be crucial for maintaining competitive advantages.