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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Peter Homola

Claudio Enobas

Wojciech Rithaler

Eli Dimitrova

Szabolcs Vasas

Anif Zarus

Rohit Yadav

Anna

Carolyn Ulfe

Liubov Kyrychenko

Denisson Leal

Aryan

Akash Kumar

Rudra

Weslyn Church

Manoo

Giuseppe

Mohamêd N 

ravi sreeraman

Agentic AI-Powered Data Engineering on Snowflake with Genesis

Clayton Hotel 

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

Hang

Mika Pohjola

Rohan

Elina Söderblom

Monangi

Pratap G

tuomas.takko

Kalle Halmevaara

KKKeV

Niroj Gautam 

Ishani Bhardwaj

Nasib

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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