{"id":52409,"date":"2024-06-21T11:10:57","date_gmt":"2024-06-21T15:10:57","guid":{"rendered":"https:\/\/centricconsulting.com\/?p=52409"},"modified":"2024-06-25T08:39:18","modified_gmt":"2024-06-25T12:39:18","slug":"snowflake-iceberg-a-revolutionary-approach-to-data-storage","status":"publish","type":"post","link":"https:\/\/centricconsulting.com\/blog\/snowflake-iceberg-a-revolutionary-approach-to-data-storage\/","title":{"rendered":"Exploring Snowflake Iceberg: A Revolutionary Approach to Data Storage"},"content":{"rendered":"
Imagine you\u2019re a member of the data engineering team at an e-commerce firm that specializes in diverse online product sales. Your company gathers extensive data on customer transactions, including transaction specifics, product details, and customer demographics. Typically, your company stores this data in Snowflake tables.<\/p>\n
Snowflake<\/a> offers exceptional performance and ease of use. But traditional Snowflake tables<\/a> store data in the format received from the source system. This can limit interoperability with other data tools and ecosystems. And Snowflake manages table metadata within its own FoundationDB database, which potentially separates your data storage from compute resources.<\/p>\n You can bridge the gap between Snowflake\u2019s familiar query capabilities and the flexibility of open data formats stored in customer-managed cloud storage.<\/strong><\/p>\n The solution? Snowflake Iceberg tables.<\/p>\n The Iceberg table doesn\u2019t physically store your data within Snowflake. Instead, it stores data in Parquet format within your designated Amazon S3 bucket. Snowflake Iceberg manages the metadata in the cloud bucket itself, separate from the actual data in S3.<\/p>\n When you run queries against the Iceberg table, Snowflake translates the query and retrieves the data from your S3 bucket efficiently.<\/p>\n Here\u2019s how this benefits you:<\/p>\n This approach can lead to even greater cost savings compared to storing data in Snowflake\u2019s native compressed tables, which typically incur a standard charge of $23 per compressed terabyte per month.<\/p>\n The bottom line: Snowflake Iceberg empowers you to harness Snowflake\u2019s querying prowess while storing data in a cost-effective, flexible way within your cloud storage<\/a> infrastructure.<\/strong><\/p>\n <\/a><\/p>\n The below figure shows the Snowflake table data<\/a> in Parquet along with Iceberg metadata.<\/p>\nEfficient External Storage Management with Snowflake Iceberg Tables<\/h2>\n
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Capabilities<\/h2>\n
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