SNOWFLAKE SUMMIT AT A GLANCE

Last month Snowflake hosted its annual Summit from June 3-6 at the Moscone Center in San Francisco. From notable industry speakers and hands-on learnings, to advancements in AI, applications, and data engineering, this year’s Summit was bigger and better than ever. 

The last day featured the first ever, free Snowflake Dev Day for builders everywhere to discover, connect, and explore Snowflake product & features, along with open source capabilities from Streamlit, Modin, and more. In case you missed here, here’s your recap of the most exciting announcements. 

SUMMIT ROUNDUP

Snowsight Dark Mode

With Snowsight, you now have the ability to specify appearance. The three options include: 

• Light - Traditional dark characters on a lighter background, typically used in normal daylight.
• System - Use the same mode as specified by the operating system running Snowsight.
• Dark - Light text on a dark background to reduce eye strain in low-light condition.

Snowflake Notebooks

Perform exploratory data analysis, develop machine learning models, and perform other data science and data engineering tasks all in one place with Snowflake Notebooks. 

• Write SQL or Python code and compare results with cell-by-cell development and execution 
• Interact with data through embedded Streamlit visualizations 
• Make notes about different results with Markdown cells
• Run your notebook on a schedule as a task 
• Leverage role-based access controls to designate EXECUTE, USAGE, CREATE privileges, and more

Follow along with the video below to try it out for yourself!

Snowpark Pandas API now in Public Preview

The expansion of Snowpark to provide a pandas-compatible API layer, with minimal code changes, allows users to get the same pandas-native experience with Snowflake’s performance, scale and governance. The Snowpark Pandas API leverages the open source Modin API as the frontend client layer

• Overcomes the single-node memory limitation of traditional pandas with the Snowpark pandas API allowing developers to avoid out-of-memory errors
• No new syntax or heavy code rewrites: Snowpark pandas API preserves the same pandas API signatures and dataframe semantics
• Data remains on Snowflake’s secure platform

Get started with Snowpark Pandas with the Quickstart guide below!

Polaris Catalog

Polaris Catalog, an open source catalog for Apache iceberg with interoperability with Amazon Web Services (AWS), Confluent, Dremio, Google Cloud, Microsoft Azure, Salesforce and more. Polaris Catalog implements Iceberg’s open REST APIs and you can use Snowflake to both read & write to Iceberg tables. Coming to Public Preview later this year.

To be the first to know when the code for Polaris Catalog is released, sign up for notifications by watching the Github repository.

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