The Denodo Platform leverages a logical approach to data management , rather than a traditional , physical approach , to solve this problem . Using this approach , the Denodo Platform establishes a logical abstraction layer across all cloud data assets , which enables immediate integration and access to any dataset without needing to first copy or replicate it .

With support for retrieval augmented generation , RAG , the Denodo Platform enables organisations to provide their AI applications with trusted data from all their cloud systems , simultaneously . And finally , with support for natural-language queries and AI-powered assistance , the Denodo Platform makes it easy to leverage multicloud data for advanced modern use cases .

When a user connects to data and requests it , the Denodo Platform retrieves that data from one or more cloud systems in real time , integrates it into business-friendly views , and delivers it to the user . With a broad set of data delivery options , including JDBC , ODBC , ADO . NET , SOAP , RESTful web services , OData , GraphQL , GeoJSON , exports to Microsoft Excel , SQL , Tableau Data Extracts , and JMS message queues , users can access data in their preferred ways .

Organisations can transfer all of the data from each of their cloud systems into a single data lakehouse , but not only would this be prohibitively expensive , due to the aforementioned egress charges , but it would not even solve the problem , as the data will still be formatted in multiple , proprietary ways , inhibiting easy access for reporting or delivering the data in a unified , governed fashion , to an AI application .

Integration and interoperability are at the heart of any successful multi-cloud strategy . The ability to connect seamlessly across different cloud environments avoids vendor lock-in and enables organisations to leverage the unique benefits of each platform . This requires robust data integration solutions that can manage real-time data movement , transformation , and synchronisation . As multi-cloud setups span international borders , adhering to local regulatory requirements while maintaining global operational integrity is essential . Effective data governance not only secures information but also fosters trust , a crucial component for business continuity in an increasingly interconnected digital world .

Scalability and flexibility are key advantages of a multi-cloud architecture . As businesses scale , their data needs grow exponentially , and an effective multi-cloud setup should accommodate this without causing friction . Leveraging cloud-native solutions , containers , and microservices can help organisations

dynamically scale resources up or down , ensuring optimal performance regardless of workload fluctuations . For enterprises in the Middle East , where market conditions can shift rapidly , this kind of agility is indispensable . Cost optimisation is another crucial aspect .

However , managing costs in a multi-cloud setup demands continuous oversight and smart resource allocation . Automation tools and cost monitoring solutions can play a significant role , providing insights that help businesses optimise their cloud spending without compromising on performance . An agile and cost-effective multi-cloud strategy in the region hinges on seamless integration , robust security , scalable infrastructure , and strategic cost management . By adopting a comprehensive approach , enterprises can capitalise on the flexibility and resilience of multi-cloud environments , driving innovation while maintaining control over their data assets .

TEJAS MEHTA , SENIOR VICE PRESIDENT AND GENERAL

MANAGER , MIDDLE EAST AND AFRICA , QLIK

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