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Data Preparation for Snowflake Cloud Platforms

Five data prep best practices to adopt to get full ROI

Your Snowflake cloud platform has incredible potential – as long as your users, analytics, algorithms, and automated services can access data that’s fit for use. And that takes some preparation. 

A modern data preparation solution can help you break through the greatest bottleneck to analytics and AI and realize the full value of your Snowflake investment.

This white paper explains five data preparation best practices to adopt now:

  • Empower all stakeholders
  • Focus on the right use cases
  • Enable self-service while maintaining data governance
  • Ensure data quality at scale with continuous validation
  • Automate data preparation for downstream analytics and machine learning