Migrating Data and Analytic workloads to Azure gives organizations the ability to innovate faster with Azure Data Platform. To unlock the potential, it typically takes months to architect, engineer, and deploy a Modern Data and Analytics Platform in Azure. Even with a prescriptive approach for cloud adoption, many organizations are not equipped to take on the full scope of responsibility required to leverage the all-up capabilities they have acquired as a result of the project.
Join us for a webinar where Quisitive’s Principal Data Architect, Patrick Gallucci will share our service delivery approach that helps organizations move large and small data platforms to Azure. By leveraging a method that removes the barriers that block Azure Data & Analytics adoption, Quisitive uses proven cloud adoption methodologies, tools, resources and best practices to enable organizations to simplify and accelerate their move to the cloud. Our specialized Data Platform migration experts work hand in hand with Microsoft Cloud Solution Architects.
This will be a 45-minute presentation followed by 15-minutes of Q&A.
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What is On-Ramp to Azure Data?
Quisitive has developed a service delivery approach for helping organizations move large and small data platforms to Azure with a method that removes the barriers that block Azure Data & Analytics adoption.
Using proven cloud adoption methodologies, tools, resources, and best practices, On-Ramp to Azure Data enables customers to simplify and accelerate their move to the cloud, while working hand in hand with Microsoft Cloud Solution Architects and specialized Data Platform migration experts at Quisitive. Learn more.
How does Azure Data & Analytics Tie into Business Strategy?
Azure Data & Analytics can be an incredible conduit for realizing business value, implementing powerful new solutions within the cloud, and gaining access to vast amounts of valuable data that is generated every day through your organization’s business activities. With the power of Azure Data & Analytics on your side, you can implement new business applications that can: stream and interpret massive blocks of data, generate powerful reports for better decision-making, see the impact of decisions in real-time, and much more. Read the article.