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Azure Database Migration (2 to 6 months Implementation)
Empower Your Enterprise: Unleash the Potential of Azure for Streamlined SQL Server Migration and Cloud Excellence
Streamline your cloud migration journey with Azure. Enjoy significant cost savings, enhanced agility, and accelerated revenue growth, backed by impressive metrics like a 283% ROI and a 12-month payback period. C3IT's specializes in fast-tracking this transition, leveraging cutting-edge tools to optimize business operations on Azure.
Azure delivers up to 40% in total cost of ownership savings compared to on-premises solutions and other cloud providers. Through the Cloud Adoption Framework, we tailor a financial model for swift deployment of new client environments, leveraging Azure's elasticity and global reach.
Additionally, our Azure Database Migration Service (DMS) simplifies database migration, ensuring minimal downtime and peak performance. Whether transitioning from on-premises SQL Server, or other systems, Azure DMS provides a seamless path to a modern data platform.
Key Deliverables: Upon completion, you'll receive
Cloud migration can be done in several ways. The simplest is a lift-and-shift approach, but often assets need customization, refactoring, or re-architecting to fully utilize the cloud. This involves optimizing assets at the core level for a smooth transition.
C3IT Software Solutions is an Information Technology services and consulting company & C3IT enables organizations to bring about business transformation through digital platforms.
Key benefits include:
Ready to unleash the full potential of your business with Azure?
With C3IT's Azure Database Migration, you embark on a strategic cloud transition that's in perfect harmony with your enterprise goals, driving innovation and expansion. Leverage the expertise and proven methodologies of our seasoned Azure Migration experts to enhance operational agility and accelerate your path to market.
Reach out today at sales@c3itsolutions.com to kickstart your journey towards a more cost-efficient Azure environment.
Disclaimer: This timeline really depends on architecture portfolio of the customers enrollments i.e. number of workloads, Data Volume, dependencies etc.