Snowflake

Learn more about how to determine which table type to use in Snowflake based on your use case.

The `DATEADD` function can save you a lot of time when working with dates in Snowflake. Here's a quick rundown of how it works, when you'll want to use it, and some best practices to keep in mind.

Metaplane's Snowflake Native App is now available in the Snowflake Marketplace.

Tables are the backbone of your data pipeline. Learn how to create a Snowflake table using a few simple commands.

Learn how Snowflake provided the technical foundation to turn scalable data observability from a dream into a reality.

This year, there are 527 Snowflake Summit sessions to choose from. Which ones should you prioritize? These are the 6 can't-miss sessions at Snowflake Summit 2024.

We’re excited to announce that Snowflake has invested in Metaplane. Here’s how this strengthened partnership will scale us both to new heights.

Here are 3 reasons why you should pair your powerful data warehouse with the leading data observability platform

Without a solid data management strategy, you're crossing your fingers and hoping that nothing goes wrong. Here's your first step toward a sound data governance strategy: using tags properly in Snowflake.

Using conditional statements before you start sampling ensures you’re only working with the data that matters. Learn how to make your Snowflake data sampling queries more efficient with these 2 different conditional statements.

Schema drift can result in missing or inconsistent data, undermining the accuracy of your Snowflake queries and reports if unaddressed. Here are 3 ways to track schema drift in Snowflake.

Learn what benefits you get from Metaplane’s inclusion in the Snowflake Horizon Partner Ecosystem

Metaplane expands Snowflake support to include one of their newest table types - Dynamic Tables.

Read more about Metaplane's newest feature for Snowflake users who are trying to get the most out of their data stack.

Metaplane is committed to supporting Snowflake's upcoming Data Metric Functions. This integration will use DMFs as primitives under the hood that provide centralized, secure, and potentially more economical data quality monitoring. By leveraging these functions within Metaplane's platform, users can expect an even more comprehensive data observability solution that empowers them to achieve exceptional data quality in the Snowflake Data Cloud.

Metaplane announces Snowflake Premier Technology Partner status - learn what this means for you

Learn how to extract and use data lineage in Snowflake to optimize your data pipelines and improve data engineering workflows.

Discover how to ensure your data is fresh and up-to-date in Snowflake with two essential tools: the MAX function and the LAST_ALTERED column.

Explore various methods to obtain row counts in Snowflake, from simple SQL queries to leveraging table statistics, for performance optimization and data analysis.

How much data do we need to reconstruct a useful picture of our data? That’s the question we attempt to answer in this article. The groupings of questions we need to answer in order to describe our data are the “pillars” that underlie data observability in 2023.

It’s easier than ever to add Snowflake databases. Metaplane now auto generates all of the SQL necessary to connect a database, decreasing the set up process down to minutes.

We’re delighted to announce that Metaplane has joined the Snowflake Partner Network, empowering data teams with superior quality and observability.

Snowflake debuted their native application framework at Summit 2022, which is poised to change how software is deployed on top of data. Metaplane has built the first data observability application that can be deployed directly within your Snowflake instance, for enhanced security and ease-of-adoption.

Metaplane now monitors table+column usage analytics for Snowflake: understand how critical data is used, what should be tested, and how to prioritize data quality issues.