Data Platform Accelerator: 6-Wk Implementation.

Advania

Content+Cloud’s Azure Data Platform Accelerator is a packaged service offering designed to assess, plan, migrate and validate in-scope data workloads to a new platform built with Azure Data Services.

After our people, our data is our most valuable asset where speed and quality counts. Many organisations share common challenges with legacy data estates. These include accessing data in a secure and timely manner, managing urgent performance and capacity needs and maintaining security or software updates where there is minimal tolerance for service interruption. These challenges, coupled with the desire to improve compliance and operate more sustainably, are leading many organisations to migrate to cloud services that not only solve todays problems, but set us up well for future innovation and agility.

Data modernisation is the process of moving to a modern data architecture powered by the Cloud where these challenges can be more easily addressed along with the realisation of other benefits. Microsoft Azure Data Services offers a plethora of integrated cloud products which allow us to design a secure and scalable environment for structured and unstructured data workloads, improving security and compliance and laying the foundations for data analytics.

Deliverables Include:

  • Migrate and Modernise your data from existing data sources into Azure IaaS and PaaS services
  • Build a modern, agile data platform to support current and future requirements; create a pathway to analytics
  • Transition End of Support (EOS) workloads such as SQL Server 2008 R2 (Sept 2019) and SQL Server 2012 R2 (July 2022) to a supported SQL Server IaaS or Azure SQL PaaS services
  • Improve data and service security with Azure Defender, Advanced Threat Protection and Azure Policy Regulatory Compliance for Azure SQL workloads
  • Optimise cost with Azure SQL deployment models such as Azure SQL DB serverless and elastic pool, Reserved Instances and Azure Hybrid Use Benefit
  • Assist with migration of your existing Data Warehouse (if applicable)
  • Increase the availability and redundancy of your critical data workloads
  • Reduce management complexity freeing time for innovation
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