Snowflake
Data Sharing

Step 1: Discovery + Infrastructure

• Understand and document objectives, available data and business rules regarding data modelling, security, cost optimisation
• Define execution roadmap and deliverables 
• Initial setup and configuration of infrastructure components for data share

Step 2: Data Share Development

• Develop a Data Share use case, includes landing and transforming source data and setting up quality assurance mechanisms
• Final infrastructure, security and cost optimisation set up for the data share

Step 3: Management + Automation

• Document data share creation, testing + maintenance process
• Development team + data share consumers enablement and training
• Document automation process for the creation of new shares and provide Python