Soda
Snowflake

Snowflake.

Ensure good data quality in Snowflake.

About Snowflake

The Snowflake Data Cloud gives businesses a way of uniting data to make it easily discoverable, securely shareable, and available for diverse analytic workloads. Organizations leverage the Data Cloud to modernize analytics and data technologies and unlock seamless data collaboration to reveal new insights and business opportunities.

How Soda integrates with Snowflake

Integrating Snowflake and Soda makes it easy for organizations to detect, resolve, and prevent data quality issues by running data quality checks on data wherever it lives. Leverage the power of automated monitoring and anomaly detection to manage data quality across the stack and catch bad data before it has a downstream impact. Create incidents to track, manage, and resolve issues early so that every user can use and share reliable, trustworthy data.

Integrate Soda with Snowflake to:

  • Implement SLAs that define quality expectations to ensure that data is fit-for-purpose
  • Detect, analyze, and resolve data issues at the dataset- or record-level
  • Reduce the risk and cost of migrating data from source and prevent data downtime
Snowflake
integration information coming soon!
Data quality testing for Snowflake using Soda
Access docs to learn how this integration works with Soda and follow a step-by-step technical guide to get started.
Documentation

Guide: Managing Data Quality in Snowflake Data Cloud

Guide: Managing Data Quality in Snowflake Data Cloud

A comprehensive guide on how to augment your Snowflake Data Cloud with data you can trust.
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Quickstart: Data Quality Testing in Snowflake Data Cloud

Quickstart: Data Quality Testing in Snowflake Data Cloud

Test data quality in Snowflake to stop bad data disrupting good business.
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Customer Story: CarTrawler

Customer Story: CarTrawler

Read CarTrawler's journey with Snowflake and Soda to create a single source of truth for data analytics and data science.
Read the StoryRead the Story

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