Snowflake Bangalore User Group

Name: Snowflake Bangalore User Group
Start: 2023-06-10T09:00:00+05:30
End: 2023-06-10T14:00:00+05:30
Location: Quantiphi Analytics Bangalore Office

Bengaluru

The Snowflake Bangalore User Group is getting together on June 10 at 9:00 am! Join us for the Bangalore 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.

Jun 10, 2023, 3:30 – 8:30 AM (UTC)

About this event

Join us on June 10th at 09:00 am for the Bangalore 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 Quantiphi team 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!
Detailed Agenda and Speakers below

When

Saturday, June 10, 2023
3:30 AM – 8:30 AM (UTC)

Where

Quantiphi Analytics Bangalore Office
8th Floor, Trifecta Adatto, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka
Bengaluru, 560048

Agenda

Check-in	Registration and networking
Builders' Introduction to Snowflake	Snowflake is for everybody. If you're building data pipelines, machine learning models or even applications, Snowflake can help reduce your effort, optimize your workflows, build and share assets with enterprise grade governance and security. In this session, we'll introduce you to Snowpipe, Streams and Tasks, SQL API, external functions, zero-copy cloning and more capabilities you can leverage to ease your work with data.
Experience the transformative potential of AI-first digital engineering with Quantiphi & Snowpark	In this session, we will discuss how you can transform cloud data operations with Snowpark to enable real-time, data-driven decision making. You will also learn how custom AI ML models built on Snowpark can solve complex business challenges to help drive better business outcomes.
Building Applications with Streamlit	It's time to get to work! In this session we'll teach you how to build data engineering and machine learning workflows using Snowpark, and create an interactive application using Streamlit. We'll walk you through the process of training a linear regression model to predict the return on investment of advertising spend across multiple channels. By the end of the lab, you’ll have learned how to create data pipelines, develop a ML model, use open source scikit-learn library, build Python User-Defined Functions (UDFs), and deliver the results as an interactive application.
Q&A
High tea and Networking

Speakers

Farhan Choudhary

Snowflake

Senior Product Marketing Manager & Evangelist

Harish Chintakunta

Snowflake India

Partner Sales Engineer

Deepjyoti Dev

Quantiphi

Lead Architect, Snowflake Alliance

Chaitra Kadam

Quantiphi

GTM Lead, Snowflake Alliance

Host

Farhan Choudhary

Snowflake

Senior Product Marketing Manager & Evangelist

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