Cloud Database Migration
Description
We will support you with our migration services to move your operation to the Cloud platform of choice:
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Microsoft Azure database solutions including:
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Amazon AWS database solutions including:
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Amazon RDS
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Amazon Redshift
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Amazon Aurora
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Google Cloud database solutions including:
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Cloud SQL
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Cloud Spanner
We can help you with your Cloud data migration, wherever you are on your journey. From requirement analysis, identifying available savings and optimisations, project planning and technical project delivery to data migration we have the expertise to assist. We can also support the transition of line of business applications to utilise modern cloud data stores, or work with you to migrate these applications to the cloud to enable the latest modern workplace practices.
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Do you have on-premise data stores that are inefficient, insecure, not optimised, outgrown the system or you just want to remove the operational overhead of managing on-premise systems then look no further as we are here to help.
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We offer a tailored solution to your data needs that enable you to migrate and future proof your solutions by carefully moving your valuable data assets into a next-generation cloud environment.
Benefits
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We are data experts that can quickly assess your needs in data requirements so we can offer reassurance that you are moving securely and safely to a new environment with minimising the effects on your business and applications
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As Hybrid Cloud experts we can support the entire lifecycle transition and mixed-mode operation. Move your data now to start realising performance and economic benefits, in advance of re-developing your bespoke applications to be cloud friendly
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Project Management service to give you a roadmap of how it can be done and keep you informed of progress every step of the way
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We can support you in selecting the best solution for your needs at reasonable prices.
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We have expertise in migrating from many popular source systems including Microsoft SQL Server instances (on premise and co-located), Sybase, Oracle, IBM DB2, PostgreSQL, Informix, MariaDB, Access or Excel to a wide variety of cloud database products from industry leading vendors including Microsoft Azure, Amazon AWS and Google Cloud.
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Cleanse and assess your data in the new environment before go-live without impacting your systems
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Data restructuring can be performed and tested during the migration to meet expanding needs.
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Linking of applications can be tested in a safe way through a parallel test-driven approach.
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Realise potential cost savings in normal data operations from storage, maintenance, performance and optimisation.
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Cloud vendor support from Microsoft, AWS or Google
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Exceed your current system availability with higher SLAs and above depending on end solution.
Service
Requirements Analysis
On site experts will meet with data owners and stakeholders to determine their requirements. We will review your system, datasets, and documentation to perform a feasibility assessment which will also include speaking to data practitioners familiar with your datasets and dependent applications. A project plan along with concise documentation of the migration will be delivered to stakeholders.
Project Management
Set milestones on your migration path. Monitor, manage and report progress. Test and prove to build confidence and optimise the efficiencies inherent in the technology.
Technical Implementation
Having agreed end solution, data access, scope and project plan, the implementation will commence with deployment of the chosen cloud-based solution to meet your requirements. You will be kept abreast of all activity including risks so you are in the driving seat through the whole process. Documentation will be delivered to you on the infrastructure, design and maintenance of the system. Sign off will be completed in conjunction with our experts and full systems details will be provided back to you to manage the solution going forward if required.
Progressive Data Are Here To Help
Our experienced team are here to help.
Contact us to begin your data journey.