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Snowflake on Azure Consultation: 1-Hour Briefing

Decisive Data

In 1-hour, Decisive Data will cover a variety of topics related to utilizing Snowflake on Azure, including: data migration, Snowflake Data Sharing, data warehousing, ETL/ELT, and best practices, etc.

Data cultures start with a solid foundation. During this free 1-hour Snowflake on Azure Consultation, you’ll comprehend whether your data journey is just beginning, or you're trying to untangle a messy situation, empowering your organization to make data-driven decisions utilizing the efficiency of Snowflake – “The Enterprise Data Warehouse Built for the Cloud”.

If you've already got your data set up on-premises, we'll help you understand how to migrate to the cloud with Snowflake on Azure. If your data is already in the cloud with Azure, but you need some help cleaning it up, we can do that too. Lastly, if you don't already have your data environment set up at all, we'll help you understand how to get started.

What We’ll Cover

Working with you to directly discuss and understand your current business problems or data insight goals, we'll strategically discuss the following:

  • Plan to migrate data from legacy systems to Snowflake
  • Data Sharing planning using Snowflake’s robust Data Sharing feature
  • Create a strategy to modernize your data warehouse using Snowflake
  • One on one discussion of Snowflake on Azure best practices
  • Schedule onsite or virtual office hours
  • Identify data and ETL/ELT workflows to automate
  • Adoption strategy and planning
  • Directed requirements gathering

The Snowflake on Azure 1-Hour Consultation should allow you to walk away with a better understanding of how to capitalize on the following features of Snowflake on Azure:

  • Unique Architecture Built for the Cloud
  • Designed separation of compute, storage, and global services
  • Benefits from cloud economies of scale
  • Support for data sovereignty (i.e. support of regional regulations like GDPR)
  • Full ACID compliance in a multi-cluster shared data architecture
  • Creation of zero-copy clones for consistent reporting snapshots
  • Support for structured and semi-structured data
  • New variant data type which allows semi-structured data to be loaded 'as-is'
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