Data Management Platform Consolidation With Enterprise Linux

In today’s competitive landscape, businesses are continuously evolving their application strategies to drive success in the digital economy. Applications are at the core of business operations, and their effectiveness depends on the database management system (DBMS) supporting them. To ensure scalability, performance, and adaptability, modern applications require a DBMS capable of handling large, diverse datasets with low latency, real-time analytics, and in-memory technologies for both transactional and analytic processing. As companies strive for platform consolidation to simplify operations, the use of versatile operating systems (OSE), like Linux, becomes crucial. Linux, specifically Red Hat Enterprise Linux (RHEL), offers the flexibility to run applications on bare metal, virtualized environments, or the cloud. Moreover, the integration of Microsoft SQL Server on RHEL is pivotal for database consolidation, reducing total cost of ownership (TCO), and supporting DevOps, microservices, and containerized deployments. The paper highlights how such platforms facilitate efficient data management, enabling companies to modernize their applications, integrate data analytics, and meet stringent compliance requirements, all while driving cost efficiency and operational agility.

For enterprises seeking to modernize their application architecture and data management strategies, adopting a versatile platform like Red Hat Enterprise Linux, combined with Microsoft SQL Server, can provide significant benefits. It enables scalability, enhanced performance, and simplified compliance, laying the foundation for future-proof, cost-effective solutions in the cloud or on-premises.

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