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Top 5 Data Prep Practices for Snowflake

Break Through the Biggest Bottleneck to Analytics and AI

Looking to get the most from your investment in Snowflake’s Zero Management Cloud Data Warehouse? 

This eBook outlines five data preparation best practices to harness Snowflake’s scalable computational power, agility, and cost efficiency for analytics, machine learning, and data visualization. Break through the biggest bottleneck to analytics and AI by:

  • Empowering all stakeholders
  • Focusing on the right use cases
  • Enabling self-service while maintaining data governance
  • Ensuring data quality at scale with continuous validation
  • Automating data preparation for downstream analytics and machine learning