Snowflake updates developer tools, adds observability features [Video]

Snowflake expects the updates and observability features to simplify devops and accelerate development.

Cloud-based data warehouse company Snowflake has added a new development interface for machine learning pipelines to its platform, among other updates for developers announced at the ongoing Snowflake Summit.

These updates includes the new interface, called Snowflake Notebooks; the addition of a Pandas API; new observability features; and the integration of the company’s Native App Framework with Snowpark Container Services.  

Snowflake Notebooks, which is currently in public preview, is natively integrated to all parts of the Snowflake platform, including Snowpark ML, Streamlit, and Cortex. It’s a single development interface for Python, SQL, and Markdown that developers can use to experiment and iterate on their machine learning (ML) pipelines, harness AI-powered editing features, and simplify data engineering workflows, the company said.

Meanwhile, a Snowpark PandasAPI will enable Python developers to work with the familiar syntax of …