Building a Scalable, AI-Ready Data Platform with Snowflake

Enterprises today demand scalable, high-performance, and future-proof data architectures to keep pace with rapid technological advancements. But how do you transition from legacy systems to a unified, AI-ready data platform?

Watch this On-Demand Webinar to explore proven strategies for building and managing a unified, cloud-native data platform that supports predictive analytics and enterprise AI.

๐—ฌ๐—ผ๐˜‚ ๐˜„๐—ถ๐—น๐—น ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜:   

  • The evolution of data architecturesโ€”from RDBMS to Data Lakehouse      
  • Comparative overview of Data Warehouses and Lakes   
  • Key design principles of Snowflakeโ€™s cloud-native platform      
  • Best practices for data ingestion & real-time analytics      
  • How Snowpark expands data engineering capabilities     
  • Eliminate vendor lock-in with Iceberg and Open Table Formats

Presenter

Shiva Bathini

Senior Technical Architect
Cambridge Technology Inc

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