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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

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""