CloudMoyo Snowflake on Azure implementation

por CloudMoyo Inc

Lay the foundation of advanced analytics and data science with modern data architecture

To tackle storage, sharing, and consumption issues present within legacy architecture, enterprises are making the shift to modern data architectures in the cloud. Our Snowflake on Azure implementation solution marries the best of both worlds, running the Snowflake Data Warehouse on the Microsoft Azure platform. With this solution, you can utilize Microsoft-managed data centers to build, test, deploy, and manage services and applications, and choose from an array of cloud services to enable your workforce with the right tools and technologies. You benefit from a globally-distributed team of Microsoft and Snowflake experts who can advise the right strategy for your data migration and platform modernization. Snowflake Data Warehouse on Azure runs on the robust Azure cloud infrastructure, employing the full Azure stack to create a unified platform and equip your business to produce data-driven, productive teams. 

What you get with the Snowflake on Azure implementation: 

  • Robust, secure modern data architecture with cutting-edge ETL, deep integrations, and custom connectors
  • Hierarchical distribution of data with a central data repository
  • High-end analytics in the cloud with Azure Analysis Services, for quick browsing through large datasets
  • Intuitive dashboard designs to track metrics and business activities
  • Powerful data visualizations with Power BI to capture trends and uncover relationships
  • Databricks to handle data science and real-time data transformation  

Business benefits

  • Obtain a unified view of enterprise data and business performance
  • Higher scalability and concurrency at low cost and minimum maintenance
  • Improved data security and self-service analytics capabilities
  • Visualize insights, capture trends, and track projects with tabular models in Power BI
  • Scalable, sustainable solution to meet growing business needs
  • Accommodate new data sources for analytics 

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