Explore apps, data pipelines, and ML workflows in the age of LLMs and generative AI.
Cost: Free
Location: JW Marriott, Pune
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Join Us for Product Deep Dives, Demos, and Labs
Come together in Pune to explore how to build apps, data pipelines, and ML workflows in the age of LLMs and generative AI. Learn how to use the latest innovations from Snowflake and the community to build natural language interfaces for data and apps, fine-tune models with private data, and deploy and monetise them.
Cost: Free
Location: JW Marriott, Pune
Agenda at a glance
SPEAKERS
Murad Wagh
Sales Engineering Director
Snowflake India
Sumeet Tandure
Sr. Manager, Sales Engineering
Snowflake India
Farhan Choudhary
Senior Product Marketing Manager and Evangelism
Snowflake India
Ritesh Shah
Senior Sales Engineer
Snowflake India
Ritabarata Saha
Senior Data Cloud Architect | GSI Partners
Snowflake India
Sachin Amod Gangwar
Senior Sales Engineer
Snowflake India
Ranganath Ramakrishna
CTO - Fosfor Product Suite
LTI Mindtree
Hemant Raorane
Sales Engineer
Snowflake India
Prajakta Deshpande
Senior Solutions Engineer
Snowflake India
Prajakta Borkar
Senior Solutions Engineer
Snowflake India
Kapil Arora
Senior Solutions Engineer
Snowflake India
Abhishek Mishra
Manager - Data Engineering
Snowflake India
Sudhir Tekavade
Senior Data Engineer
Snowflake India
Pawan Mall
Senior Sales Engineer
Snowflake India
Manisha Jaiswal
Sales Engineer
Snowflake India
Rahul Jain
Data Engineering - Manager
Snowflake India
Kaustubh Joshi
Senior Data Analyst
Snowflake India
Atul Pawar
Engineering Manager
Snowflake India
App Architectures
Build SaaS and connected apps, or use Snowflake primitives to deploy apps natively inside a customer’s Snowflake account.
Hybrid Tables
Work with transactional and analytical data in a single data set, with fast single-row operations and efficient analytical queries.
Snowpark
Use Scala, Python, or Java along with DataFrame constructs to build data pipelines, ML workflows, and apps.
Streamlit
Build and share interactive visualisations with a few lines of code—without having to learn front-end development languages.
User-Defined Functions
Extend Snowflake with in-engine JavaScript, Python, Java, and SQL functions to perform custom calculations.
Streaming
Ingest row-set streaming data natively in Snowflake with Snowpipe Streaming and Kafka Connector, and transform declaratively with materialised tables.
Why Attend Build?
Connect With Your Peers
Our sessions are for builders, by builders. Learn directly from others with similar interests.
Get Hands-On Experience
Roll up your sleeves in labs led by Snowflake engineers and community members.
Learn From the Experts
Join keynotes, lightning talks, and breakout sessions to discover the latest features of the Snowflake Data Cloud.