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How to reach any number of Azure Blob storage accounts from Snowflake external stages, and how it scales. Part One: The Problem, and Why the Obvious Fixes Run Out It starts with a firewall on a storage account: A customer runs Snowflake on...
Introduction Companies building reports with metrics extracted from datasets on Snowflake is common practice. Those reports don’t just get filed away.
by Willem Reerink Introduction Running an AI app and its observability pipeline usually means two separate systems. I built both on one Snowflake Interactive Warehouse.
For about ten years, cost control on Snowflake mostly meant one thing: watch the warehouse. Resource monitors, auto-suspend, right-sizing. That mental model worked because compute was the bill. AI spend doesn’t behave like warehouse spend.
From Kafka Dependency to Direct Ingestion: A Production Architecture with Snowpipe Streaming Elastic Channels How I replaced an intermediate message bus with a three-line SDK call and streamed 1,010 rows from a MacBook directly into...
POWERED BY SNOWFLAKE AI_EXTRACT Author: Nikhil Singh (Kipi.ai) Co-Author: Vivek Kanna Jayaprakash (Kipi.ai) Co-Author: Ripu Jain (Snowflake) The Business Challenge Wealth management firms receive thousands of client financial documents in...
A practical guide to preparing an existing Snowflake dbt project for v2, validating compatibility, and handling static-analysis gaps.
Beyond the well-known Time Travel feature, Snowflake Backups provide an additional layer of protection against data loss due to unforeseen circumstances.
Observability is an important pillar of any modern workload, and the telemetry emitted by your platform or application is the key to unlocking it.
Eliminating the random suffix problem without a Glue crawler, in near-real-time, for pennies a day. Our daily stand-up meeting commenced, and the customer jumped right in with, “I added the Iceberg tables you created yesterday to the Glue...
Use native temporal ranges to look up effective records, join histories and allocate fleet operating hours. A rate changes on April 1. A report for February should still use the old rate.
Moving data from Apache Cassandra to Snowflake using Snowpark Python allows for a highly efficient pipeline that leverages native Python drivers while maintaining Snowflake’s governed security and scale.
Turning data into compliant, multi-channel campaigns Authors: Randy Pettus, Principal Partner Solution Engineer, Snowflake; Greta Xiong, Senior Solutions Architect, WRITER Marketers often face the challenge of using data to its full...
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