When snow snowpark deploy command is run on an app with python procedure, the deploy fails due to a mismatch of arguments in the snowflake.yml vs the actual ... In earlier releases of snow-cli there ...

The service comes in the form of scale-up/scale-down serverless functions, which can be called up using SQL or Python code ... what OpenAI offers, but it is run right within Snowflake Data Cloud," he ...

Snowflake recently acquired Ponder. The acquisition gives Snowflake software for more Python capabilities in the Data Cloud. Snowflake’s main goal with the acquisition, financial details of which were ...

With this deal, which is expected to close this week, the product is expected to become a part of the Snowflake data cloud, allowing users to run ... Python worksheets that let teams use Snowpark ...

Subsequently, it integrated DataFrames, a more flexible interface which Python programmers frequently use to query ... Nearly 40% of Snowflake accounts also run Databricks. About 46% of Databricks ...

Census, provider of a data activation and reverse ETL platform, announced the launch of new features, Powered by Snowflake, that empower users to activate data using Python to run complex data ...

Focusing on Snowpack Container Services, this is the ability to containerise whole apps and services (that are typically pre-existing) and then run ... to use Snowflake Snowflake shared procedures ...

Developed using Snowflake’s Snowpark API for Python, these newly-released Census features now give users the ability to run advanced Python models effortlessly on Snowflake by eliminating ...

The example we use frequently is ... to take your laptop-based, Python and Pandas data science and data engineering code, and scale it out directly to run on the Snowflake cluster with extremely ...

Is your feature request related to a problem? Writing stored procedures for Snowflake using Python depends on the Snowpark API, centering around a session object rather than a database connection. To ...