The Snowflake Pune User Group is getting together on December 2 at 09:00 am! Join us for the Pune user group meeting for the technical sessions where you will experience the latest Snowflake features enabling data engineers, data scientists and app builders to deliver data faster.
BUILD Meetup: Asia
About this event
Join us on December 2nd at 10:00 am for the Pune user group meeting where you will experience the latest Snowflake features enabling data engineers, data scientists and app builders to deliver data faster.
During this meeting you will hear from Snowflake experts and the Community leads on how you can build better and faster apps using Snowpark and Streamlit. Food and beverages will be served, and all attendees will leave with exclusive swag!
Welcome by Pune Snowflake Technical User Group Chapter Leader (STUG), Rajiv Gupta, Snowflake Data Superhero
A Unique Take on Tenant Migration in Snowflake, Rajiv Gupta
Snow on Snow Session - Snowflake Cortex, GenAI & ML by Rahul Jain and Atul Pawar, Snowflake India
Snowflake provides a single platform to implement Data and AI strategies. Snowflake's Cortex is revolutionising the landscape of Generative AI, Language Learning Models (LLM), and Machine Learning (ML) for technical audiences like data engineers and data scientists. This foundational layer democratizes access to cutting-edge AI technologies, enabling users to operationalize AI models swiftly - in seconds, minutes, or hours. It streamlines the traditionally complex processes, offering a seamless integration of AI capabilities into existing workflows. Data professionals can now execute ML-powered functions using straightforward SQL queries, significantly enhancing efficiency. Snowflake's approach is illustrated through live demos, demonstrating the practical application and ease of integrating AI into diverse data projects
Deep Dive on Snowpark Container Services by kipi.bi
Snow on Snow Session - How to Bring, Manage and Scale Data in the Data Cloud by Abhishek Mishra and Sudhir Tekavade
Hear about importance and modalities of bringing everyting and all workload to Snowflake and how we effective manage this scaled workload at Snowflake.