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Creating a Snowflake Data Warehouse On Microsoft Azure

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Guide

Cloud Data Warehousing for Dummies

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Big Data is changing the way enterprises monitor business performance, allocate resources, and digest actionable intelligence. The exponentially growing amount of both structured and unstructured data pouring in from the Web, transactional PoS systems, and IoT devices can give organizations incredible, transformative insights but
these rich data veins can also create storage and distribution problems if the right data systems are not in place.

To facilitate secure data storage, real-time analytics, and concurrent, enterprise-wide data sharing without exorbitant capital expenditures, businesses are turning to
Cloud-based data services such as Microsoft Azure and SaaS data warehousing.

The optimal Azure data warehouse must seamlessly combine the power of Cloud computing services with the flexibility, access, and analytics power of SaaS
data warehousing to store data, extract valuable insights, and then share these insights in real time.

An AZure Data Warehouse
Built for Your Business requirements

Snowflake on Azure delivers this powerful combination with a SaaS-built data warehouse that handles diverse Azure data sets in a single, native system. With high customer demand for Azure, Snowflake offers Microsoft’s Cloud Web services platform as an option to run the Snowflake SaaS Data Warehouse.

AWS Data Warehouse

Why Data Driven Companies Choose Snowflake

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A Microsoft Partner for
the SaaS Data Warehouse 

  • As a Microsoft partner, Snowflake offers support for an Azure-based data warehousing, including:
  • Integration and easy access from Azure Blob Storage to Snowflake
  • Easy implementation of data pipelines from Azure Data Lake into Snowflake
  • Connection with Microsoft PowerBI Desktop to visualize analytics

Azure Businesses: Start Improving Business Outcomes and Reducing Risk

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