Name: LSUG - Snowflake Warehouse Management & Real-Time Data at Massive Scale
Start: 2025-11-18T18:00:00.000Z
Location: Snowflake Computing UK Ltd

Agentic AI transforms how data work gets done. By equipping LLMs with governed data and enterprise tools, it can plan, verify, and execute complex workflows — turning months of pipeline work into days while preserving quality and governance.

In this session, former Snowflake and current Genesis engineer, **Michael Rainey** will share why the founders — former Snowflake executives **Matt Glickman** and **Justin Langseth** built Genesis, the first secure, containerized AI agents designed to run natively in the Snowflake AI Data Cloud.

Genesis captures tribal knowledge, proposes mappings, generates **dbt-ready pipelines**, and prevents downstream breakage — enabling teams to accelerate transformation without adding technical debt.

You’ll learn:

* How Genesis leverages Snowflake’s secure, auditable environment to scale agents safely.
* Architecture choices that preserve institutional knowledge and reduce operational risk.
* Real use cases beyond analysis — from accelerating migrations to delivering production-grade pipelines faster.

The session concludes with a **live demo of Genesis inside Snowflake**: watch a messy source system converted into a ready-to-run pipeline with lineage, tests, and human-in-the-loop approvals — in minutes, not months.

**What We Will Cover**

* **What is Agentic AI**: Core concepts, why agents are not chatbots, and where agents fit in data and workflows.
* **What is Snowflake**: Services that matter for agents, including governance, compute isolation, Snowpark Container Services, and observability.
* **Why Genesis on Snowflake**: Data gravity, security boundaries, cost and governance controls, and native execution patterns.
* **Getting up and running**: Prerequisites, deploying Genesis in Snowpark Container Services, roles and warehouses, connecting sources, enabling lineage and tests, and setting approval steps.
* **Use cases and product features**: Tribal knowledge capture, schema and mapping proposals, autonomous pipeline generation, impact analysis to prevent breakage, lineage, testing, and approvals.
* **Live product demo**: End-to-end build from messy source to production pipeline inside Snowflake.

**Who Should Attend**
Data engineers, analytics engineers, platform teams, and architects evaluating governed agents.

**Takeaways**

* A clear mental model for Agentic AI on Snowflake
* A practical checklist and quick start guide for deploying Genesis natively
* Patterns to reduce technical debt and improve reliability beyond ad hoc analysis

**Speakers**
[Michael Rainey](https://www.linkedin.com/in/rainey/)

Snowflake User Group Ireland Meetup

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Claudio Enobas

Wojciech Rithaler

Eli Dimitrova

Szabolcs Vasas

Anif Zarus

Rohit Yadav

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Carolyn Ulfe

Liubov Kyrychenko

Denisson Leal

Aryan

Akash Kumar

Rudra

Weslyn Church

Manoo

Giuseppe

Mohamêd N 

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Welcome to Snowflake User Group meetup at S-Group.

**Please note you need to have VALID ID to enter SOK premises! This will be checked at the reception!**

5:00 PM Arrivals, food and mingling
5:30 PM Snowflake User Group - Introductions by Mika Heino
5:40 PM S-Group presentation by TBA + QA
6:30 PM Short break
6:40 PM EKAI live demo presentation by Hussnain Ahmed & Tero Miikki
7:30 PM Wrap-up & Networking
8:00 PM Doors Close

Light bites and drinks will be served.

You can also sign-in to https://usergroups.snowflake.com/helsinki/ to get notifications from our Bevy page.

Helsinki Snowflake User Group

Mika Heino

Stanislava Golubchenko

Oleg Alexeyev

Ville Antila

Janne Ojanen

Arun

Venkata Varanasi

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Mika Pohjola

Rohan

Elina Söderblom

Monangi

Pratap G

tuomas.takko

Kalle Halmevaara

KKKeV

Niroj Gautam 

Ishani Bhardwaj

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Snowflake Finland User Group Helsinki - November 2025 at S-Group

Ässäkeskus

In collaboration with **Data Engineers London**

**Intelligent Snowflake Warehouse Management**
**Konrad’s** session explores how Crisp automated Snowflake warehouse management to cut costs and boost efficiency. Using their open-source dbt package **dbt-macro-polo**, the team built a system that automatically selects the right warehouse size for each workload, adapts by environment, and removes manual scaling. The result: predictable performance, lower compute spend (up to 80% reduction), and a smoother developer experience across teams—all achieved through intelligent automation directly in dbt.
**From Stadiums to Scaled Data: Lessons in Real-Time Data at Global Scale**
**Sam’s** session dives into lessons from large-scale live event data systems—handling over **10 billion data points per second** for global tours like Beyoncé, Coldplay, and Glastonbury. He connects the extreme demands of real-time analytics and high-performance networking to modern cloud data practices, showing how the same principles of **speed, resilience, and precision** apply when designing reliable, scalable data platforms today.

London Snowflake User Group (LSUG)

Piers Batchelor

Tony Burton

Jason M

Evan Fong

Hugo Lu

xiu bao

funky s

LSUG - Snowflake Warehouse Management & Real-Time Data at Massive Scale

Snowflake Computing UK Ltd

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