Establishing enterprise data readiness for advanced analytics and AI/ML applications with a Snowflake data architecture run on the Azure platform
Limited access to information, slow and intensive analytics, data silos, and increased time to develop insights are only a few of the challenges that organizations with traditional, on-premises data warehouse face. The reality is the cascading effects of data struggles in business decisions and losing time and extensive resources in the process. A modern, cloud data architecture not only overcomes such challenges but also increases the value of your enterprise data.
In this customer success story, CloudMoyo devised a modern data architecture for a growing consulting engineering company with Snowflake Data Warehouse leveraging Azure Data Factory V2, and Azure Blob Storage for a scalable, cloud data warehousing solution. With deep integrations of Azure Analysis Services and Power BI technologies, the company is tapping meaningful insights faster than ever and establishing readiness for self-service BI, advanced analytics, and AI and machine learning applications.
Find out how modern data architecture provides a single version of the truth to stakeholders for aligning business objectives with increased transparency and making faster data-driven decisions.
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