Business
WHAT'S THE SNOWFLAKE ARCHITECTURAL DIFFERENCE? Meghann Chilcott is the host of FutureDose.Tech and interviews Todd Crosslin, the VP of Healthcare Strategy at Snowflake Computing. Snowflake’s unique data warehouse architecture provides complete relational database support for both structured data, such as CSV files and tables, and semi-structured data, including JSON, Avro, Parquet, etc., all within a single, logically integrated solution. Snowflake is a data warehouse-as-a-service, which requires no management and features separate compute, storage, and cloud services that can scale and change independently. Metadata is also automatic. What’s more, metadata processing within Snowflake does not compete with the compute resources running your queries. This means Snowflake can scale near-linearly as your compute resources scale out. Secure by design and compatible with popular ETL and BI tools, Snowflake enables data warehouse managers to support enterprise-wide data warehouse requirements with virtually unlimited concurrency. Snowflake is also a powerful query processing back-end platform for developers creating modern data-driven applications. https://www.snowflake.com/product/why-snowflake/ See omnystudio.com/listener for privacy information.