Thank you for your interest in Data for Breakfast.

We have received an overwhelming response and unfortunately have reached capacity for this in-person event.

However, we have upcoming webinars for you to continue your Snowflake journey

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Your future depends on using data. Join us for a morning of insights, inspiration, value—and breakfast—where you’ll learn all about Snowflake’s Data Cloud: a global network where you can mobilise your data in a multitude of ways with near-unlimited scale, concurrency, and performance.


  • Unite your siloed data, and access governed and secure first-, second-, and third-party data for previously unimagined insights.
  • Develop and run data applications, models, and pipelines where data lives.
  • Work and collaborate seamlessly across multiple clouds no matter where data or your local and global business communities reside.
  • Find new customers and increase revenue by offering data sets, data services, and applications in Snowflake Marketplace.
  • Learn how your peers are leveraging Snowflake to power their data initiatives

Cost to Attend: Free 

8:30 a.m.
Registration, Networking, and Breakfast

Get your badge, grab some breakfast, talk with your peers, and chat with our data experts.

10:00 a.m.
Introduction to Snowflake - What is the Data Cloud

See how you can eliminate data silos and provide governed access to nearly all of your data thanks to near-infinite elastic resources enabling your most critical workloads.

10:30 a.m.
Customer Presentation by Joveo

Joveo will present their organisation’s data and analytics strategy, how they are using Snowflake to power their data initiatives, and the benefits they are realising using the Snowflake platform.

10:45 a.m.
Importance of robust, reliable and scalable data strategy

Q&A Panel.

11:15 a.m.
Tea Break
11:30 a.m.
Building Data Applications Using Snowpark and Streamlit

Data and analytics practitioners face friction while working with data teams – data engineers, data scientists and application developers as the data pipeline is not streamlined. In this workshop, we’ll walk you through how to perform data engineering, make it ready for machine learning and create interactive applications that can improve stakeholder experience. Learn how you can leverage Snowflake’s time travel, dynamic masking, zero copy cloning functionalities and even more to make your data pipelines more resilient and robust.

12:30 p.m.
Lunch & Networking Time
  • Krishna Bhargav

    Chief Architect and Head of Data,

  • Tom Devasia

    District Manager,

  • Sumeet Tandure

    Sr. Manager, Sales Engineering,

  • Shyla Kumar Thadikamala

    Sr. Director – Data Engineering & Artificial Intelligence | CTO,

  • Kausik Saha

    Sr. Partner - AI & Data,

  • Tushar Wadhwani

    Sales Engineer,