Spatial Data

## **🗺️ Event Location** The event is at the **OneEleven Co-Working Space** located at 325 Front St W, 4th Floor, Toronto, ON M5V 3S9 ## **Imagine data pipelines that manage themselves.** The global BUILD conference is coming to Toronto, bringing the latest in data engineering directly to you. This isn't a lecture—it's a hands-on, heads-down working session where you will master the next generation of the Data Cloud. Join us for an evening where you won't just watch a demo; you'll roll up your sleeves and build a complete **multi-stage data pipeline** from scratch. We will use **Snowflake's Dynamic Tables**—the declarative approach to continuous data transformation—to create a system that automatically handles dependency mapping, scheduling, and data refreshes. Whether you're a data engineer, analytics engineer, or SQL enthusiast, this is your fast track to eliminating orchestration code and deploying robust, low-latency data products. ## **⚡ What We're Building** * **A Self-Managing Analytics Pipeline** 🔄 We are moving beyond traditional batch jobs and complex external schedulers. You will use **Dynamic Tables** to build an end-to-end workflow—from raw data to an analytics-ready fact table—while Snowflake automatically orchestrates every refresh. You'll walk away with the code and the know-how to deploy production-ready pipelines with unprecedented speed and simplicity. * **The Complete Pipeline Stack** 🛠️ You will get hands-on experience building a real-world data architecture: * **Raw Data Ingestion:** We'll set up your source tables and understand how Dynamic Tables detect upstream changes. * **Multi-Stage Transformations:** We'll create intermediate staging layers with declarative SQL—no DAGs, no schedulers. * **Analytics-Ready Fact Tables:** We'll build the final consumption layer and configure refresh policies for low-latency delivery. * **Monitoring & Observability:** We'll explore how to track pipeline health, refresh history, and data freshness. ## **📅 Agenda** We are running the **"Building Self-Managing Data Pipelines"** track. We will have expert TAs from Snowflake and the community on-site to help you debug and build. * **5:00 PM:** Doors Open, Registration, Food & Networking * **6:00 PM:** **Welcome & Core Concepts** – Why Dynamic Tables Change Everything * **6:30 PM:** **Lab Part 1:** Environment Setup, Raw Data Sources & Your First Dynamic Table (Modules 1-3) * **7:30 PM:** Short Break * **7:45 PM:** **Lab Part 2:** Multi-Stage Pipelines & Building Analytics-Ready Fact Tables (Modules 4-5) * **8:30 PM:** Networking & Social * **9:00 PM:** Event Ends ## **👥 Who Should Attend?** We designed this session to be accessible yet deep. * **For Beginners:** If you are new to data engineering or Snowflake, don't worry. We provide a step-by-step manual and have experts in the room to guide you through every line of SQL. You *will* leave with a working pipeline. * **For Experts:** If you are already a pro with dbt, Airflow, or traditional ETL, the lab provides the perfect sandbox. You can race through the basics and spend your time experimenting with refresh policies, incremental patterns, and pushing the limits of declarative pipelines. ## **💻 Prerequisites** This is a working session! To participate and earn your badge, please bring: * **Your Laptop:** Fully charged (stable Wi-Fi provided). * **That's it!** We will provide a Snowflake trial account and all necessary data during the session. ## **🎟️ Secure Your Spot** Spaces are strictly limited to ensure everyone gets 1:1 support during the lab. Don't miss your chance to eliminate orchestration headaches and connect with the Toronto data community. ### **When** February 17, 2026 *Local Time: February 17, 2026, 5:00 PM – 9:00 PM (EST)* ### **Where** **OneEleven Co-Working** 325 Front St W, 4th Floor, Toronto, ON M5V 3S9

Join us for an exclusive **AWS Toronto Office Visit** hosted by the AWS team, bringing together members from AWS Cloud Clubs across Ontario for an afternoon of learning, insight, and inspiration. This in-person visit is a chance to step inside the AWS office, meet the people building and scaling real-world cloud and robotics systems, and get a behind-the-scenes look at what careers at AWS actually look like. **What to expect:** * 🏢 **Guided Office Tour** – Experience the AWS Toronto workspace and culture * ☁️ **AWS Cloud Clubs Program Overview** – Learn how AWS supports student builders and communities * 🧠 **AWS & Solutions Architecture Talk** – How solutions architects design systems at scale * 🤖 **Amazon Robotics Session** – Explore how robotics and cloud infrastructure intersect at Amazon **📅 Date:** February 17, 2026 **⏰ Time:** 12:30 – 2:30 PM **📍 Location:** AWS Toronto Office **👥 Audience:** AWS Cloud Club members & partner university clubs (including TMU) Whether you’re curious about cloud careers, large-scale system design, or robotics at Amazon, this is a rare opportunity to learn directly from AWS professionals face to face. Spots are limited. RSVP early.

Game starts at 6pm! Friendly group of young guys and gals just out for some fun! New players that come for start receive a free 50 in chips! Beautiful Venue! Free Parking

Join us for a vibrant evening of dance lessons and socializing at D2R Mississauga! Dance with Carlos! (Bronze) Teens and Adults Mississauga

This is a ticketed event. Please register at [this link](https://luma.com/5seq0r1v). ***Who's governing the AI your doctor trusts?*** ​Healthcare AI is crossing thresholds faster than governance can keep pace. In Utah, an AI is now legally prescribing medication without a doctor. In January, OpenAI launched ChatGPT Health, and Anthropic released Claude for Healthcare. AI companies are benchmarking their models against expert clinicians' performance and rapidly closing the gap—and, in some cases, surpassing them. Meanwhile, Elon Musk is encouraging users to upload medical imaging to Grok for analysis. ​This talk will explore how today's fragmented regulatory approach creates systemic vulnerabilities that could amplify as systems become more capable. [Pascal Thibeault](https://www.uottawa.ca/faculty-law/common-law/faculty/thibeault-pascal)[ ](https://www.uottawa.ca/faculty-law/common-law/faculty/thibeault-pascal)will examine the growing chasm between AI deployment and AI governance in clinical care, and consider which governance frameworks might help prepare us for a future where AI systems operate with increasing autonomy. ​​​**Event Schedule** 6:00 to 6:30 - Food and introductions 6:30 to 7:30 - Presentation and Q&A 7:30 to 9:00 - Open Discussions ​​​​If you can't attend in person, join our live stream starting at 6:30 pm via [this link.](https://www.youtube.com/@Trajectory-Labs/live) ​​​​This is part of our weekly [AI Policy Tuesdays ](AI Policy Tuesdays)series. Join us in examining questions like: * ​​​​How should AI development be regulated? * ​​​​What are the economic and social implications of widespread automation? * ​​​​How do we balance innovation with safety considerations? * ​​​​What governance structures are needed for safer AI?

\*\*Please note that this event requires your name and email address for QR code to get access to the building on the event day, you must register or else you will not receive a QR code for access\*\* [Link ](https://forms.office.com/r/kUUNAxpugZ)to Registration: https://forms.office.com/r/kUUNAxpugZ ### Topic 1: Agentic DevOps: Redefining the SDLC DevOps just got an upgrade. Thanks to GitHub Copilot and other AI tools your pipelines can now think ahead, automate the boring stuff, and even nudge you when you’re about to break production (again). This talk dives into agentic AI—the kind of AI that doesn’t just wait for orders but actually helps out, like a proactive teammate who never sleeps. Agentic DevOps is a paradigm that combines human developer expertise with AI-powered tools and frameworks to enhance software delivery. While Microsoft popularized the concept, it’s not limited to their ecosystem. You can apply Agentic DevOps with: \- Coding agents like : Cursor\, Windsurf\, Claude Code\, Codex etc \- Local AI coding agents: Continue\, Cline\, Roo Open-source models: Llama 4, Mistral, DeepSeek, Qwen \- On\-prem deployment tools: vLLM\, SGLang\, TGI \- Agent Frameworks: LangGraph\, AutoGen\, CrewAI\, DSPy etc These are just few examples but choose your preferred tooling and infrastructure, whether on-prem or in the cloud with AWS, GCP, Azure, IBM Cloud, Oracle Cloud, or Alibaba Cloud. Agentic DevOps is about augmenting human capabilities with AI, not about vendor lock-in. Agentic DevOps is for everyone. We’ll show how Copilot helps you write, review, and ship code faster, while Azure keeps the infrastructure humming along. Think: smarter CI/CD, fewer “oops” moments, and more time to focus on the fun parts of building software. Expect real-world examples, best practices, and a few cautionary tales. You’ll leave with practical ideas for making AI a trusted part of your DevOps toolkit—without replacing the humans who still need coffee breaks. Whether you’re a DevOps engineer, team lead, or architect, this session will help you see how AI can make your life easier, your pipelines smarter, and your deployments a lot less stressful. Speaker: **Max Yermakhanov, Microsoft MVP** **Topic 2: Building a Secure Browser Agent with Microsoft AI Foundry & Azure Playwright Workspace** AI agents are moving beyond APIs and command-line tools — they are starting to reason and act inside real web browsers. In this session, we’ll explore how to build a secure, production-minded browser agent using Microsoft AI Foundry and Azure Playwright Workspace, enabling agents to autonomously navigate websites, interact with UI elements, validate outcomes, and report results with transparency and guardrails. Speaker: **Kaan Turgut, Hybrid Cloud Solution Architect** **Topic 3: Introduction to Azure SRE Agent** As organizations increasingly adopt cloud-native architectures, maintaining reliability and operational excellence becomes a critical challenge. Enter Azure SRE Agent—a cutting-edge solution designed to bring Site Reliability Engineering principles into the AI era. This session introduces the Azure SRE Agent, an intelligent, autonomous system that leverages AI-driven insights and automation to monitor, diagnose, and remediate reliability issues across distributed environments. Speaker: **Ehsan Eskandari, Microsoft MVP**

CivicTechBrampton Preview Meetup – Open Water Data Location: 8 Queen Street East, Brampton Algoma University SCEI Centre, 3rd floor, 8 Queen East. Concerned about water quality? Want to learn about Citizen Science based solutions? Inviting all technologists, students, and citizens interested in working on Water Quality and Open Data projects. Mitch Bechtel, founder of Open Water Data, will present available datasets and a hands-on workshop on Water Quality detection hardware and software. Check out the website here: [https://www.openwaterdata.com/](https://www.openwaterdata.com/) New to Water Quality monitoring or Open Data? You are definitely welcome! We will all be learning from each other. Just knowing what data sets are available sparks ideas about new civic tech projects. There will be opportunities to network, and pitch your own project to interested volunteers. Questions: email [civictechbrampton@pm.me](mailto:civictechbrampton@pm.me) Agenda: 6:00 to 6:30 Meet and network 6:30 Presentation by Mitch Bechtel, founder of Open Water Data [https://www.openwaterdata.com/](https://www.openwaterdata.com/) 7:00 to 7:15 Q& A 7:15 to 7:30 Project pitches 7:30 to 8:30 Breakout into projects of interest 8:30 End and optional social at a local bar

Hello ClickHouse Enthusiasts! We are excited to be returning to Toronto! You'll have an opportunity to connect with your peers, share industry insights, and learn more about ClickHouse and how folks are using us to solve their big data challenges. **Meetup Details:** * Date: Thursday February 19th, 2025 * Time: 5:30-8pm EST * Location: Spaces Queen West, 180 John Street, Toronto, Ontario, M5T 1X5, Canada The evening will be filled with user presentations, interactive discussions, and the opportunity to network with ClickHouse experts and users. **Agenda:** * 5:30 PM: Arrivals, Check-In and Networking (food and refreshments served) * 6:00 PM Welcome and Introductions * 6:10: Nicolas Joseph - Co Founder, CTO @ FiveOneFour * 6:30: Archie Sarre Wood @ evidence.dev * 6:50: Speaker 3 * 7:00-8:30 PM: Q&A and Networking Space is limited, so register today to confirm your spot! If you’re interested in speaking at a future meetup, please contact zoe.steinkamp@clickhouse.com

💘 **Retrieval-Augmented Generation (RAG) with MongoDB Skill Badge** Fall in love with building smarter AI applications using Retrieval Augmented Generation with MongoDB. In this Valentine-themed session, you will learn how to design RAG applications, use vector search effectively, apply smart chunking strategies, and build an LLM-powered app with LangChain and MongoDB using your own data. 🎓 **Skill Badge** Complete the skill check at the end of the session and earn a Credly Badge to share with your network. **💚 Why Attend** • Learn RAG architecture, chunking strategies, and hands-on implementation • Connect with MongoDB users, engineers, and AI enthusiasts • Free community event with complimentary food **🕠 Agenda** **5:30 PM** Meet & Greet - refreshments **5:45 PM** Talk: [Dev J. Shah](https://www.linkedin.com/in/busycaesar) (SWE @ [TribalScale](https://www.linkedin.com/company/tribalscale)) - RAG with MongoDB: Learn and get a [Credly Skill Badge](https://learn.mongodb.com/courses/rag-with-mongodb) **6:45 PM** Networking and connecting with your peers **7:30 PM** Event ends **⚠️ Important RSVP Notes** • When you arrive, please take the **elevator to the 4th floor, turn left, and follow the signs** • We kindly ask that **you arrive on time** so we can keep the event running smoothly • If you arrive **after 6 PM and the building doors are locked**, please signal the **security guard** at his desk for assistance • You may use a **fully charged laptop or a smartphone** to participate in the session • Please note that this event **will end firmly at 7:30 PM** 💡 Join us for an evening of learning, sharing, and community-building. We look forward to seeing you there! ✅ Thanks to our sponsors **[@MongoDB](https://www.linkedin.com/company/mongodbinc)**, **[@Slalom Consulting](https://www.linkedin.com/company/slalom-consulting),** and **[@Delbridge Solutions](https://www.linkedin.com/company/delbridge-solutions)** 💚 We’d love to hear from the community. **Are you doing something cool with MongoDB you’d like to share?** Message our MUG leaders [@Ian](https://www.linkedin.com/in/iancloves) / [@Leonardo](https://www.linkedin.com/in/leogomesdev) 🌎 Sessions will be presented in English

We are back after a well needed break. This time we are staying in the city for another cafe hopping event. Lets meet at Scotiabank Arena entrance close to the Telus building and venture into different directions of downtown. Detailed map itinerary to follow closer to the date. I will let cafes know that we are coming but some cafes can be small or have no washrooms so please plan accordingly and drink responsibly. Haha. Its $2 event to cover the Meetup fee. You can pay using this link: https://buy.stripe.com/bJe00j7KXf3if8caTsdZ605 Thanks and see you all.

Golf courses are not just for golf. In winter, city-owned courses become cross-country skiing and snowshoeing territory. Of these, the Don Valley Golf Course has the largest and most scenic routes. It goes across rivers and under massive highways. Toronto's only ski lift is just outside its boundaries, which we can visit if the gate there is unlocked. After romping through the golf course, we'll continue exploration in the Hoggs Hollow neighbourhood. It has some historical buildings, a fancy French restaurant, and a 1850s tavern. Heading south along Yonge Street, we'll reach a clutch of eateries, where you can choose between Georgian, Indian, or Thai food. This event depends on snow. If there is heavy snowfall, you're encouraged to ski or snowshoe the golf course portion of the hike. If there is no snow and ice, we'll just walk. Walking in heavy snow is not recommended. If you must, wear muck boots and/or traction aids. After the golf course, the rest of the hike will be on foot. **Highlights** 1. Don Valley Golf Course main building (depart 12pm) 2. Golf turf blanketed in snow (or barren and grey) 3. Hogg's Hollow Bridge 4. Earl Bales ski lift 5. Don Valley Golf Course main building (depart 1:12pm) 6. Auberge du Pommier 7. C W Jeffrey's house 8. St. John's York Mills Anglican Church 9. York Mills Centre (depart 1:40pm) 10. Miller Tavern 11. Tamada Georgian Restaurant / Mumbaikar 12. Pii Nong Thai (arrive 2:05pm) **Neighbourhoods** Armour Heights > Hoggs Hollow > Bedford Park **Map** [https://www.google.com/maps/d/edit?mid=1clcrZAR9LCTyev1-8BHf3pNAgyS-Muw&usp=sharing](https://www.google.com/maps/d/edit?mid=1clcrZAR9LCTyev1-8BHf3pNAgyS-Muw&usp=sharing) Moderate incline going down from golf course, potentially covered in ice. Stairs to St John's York Mills Anglican Church. Uphill along Yonge St from York Mills to Glen Echo. Free admission to golf course in winter. **How it works** Hike starts punctually. Late or can't do the whole route? Meet us at scheduled checkpoints. See our [About section](https://www.meetup.com/hike-to-eat/) for more info.

Join the Columbus AI community for our quarterly gathering — a casual, community-focused evening where everyone has a chance to share, learn, and connect. These open mic–style events give anyone in the community up to **5 minutes** to present a project, share a tool, pose a question, or offer a perspective on the evolving AI space. No slides required — just a welcoming space to exchange ideas and keep the local AI conversation moving. If you’d like to take the stage, message **Chris (the organizer)** with a **title and short description** of what you’d like to share. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.transformlabs.com/services)

**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). See the handy Parking Map - we recommend street parking. [Street Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com

**Abstract:** The Advanced Photon Source (APS) is an X-ray light source at Argonne National Laboratory where researchers perform imaging, diffraction and spectroscopy experiments at 68 specialized beamlines. APS recently completed a major upgrade that made it the brightest synchrotron in the world and upgraded many of the beamlines to take advantage of the dramatically brighter, more coherent beam. These new capabilities are increasing the facility’s raw data production from <10 PB/year before the upgrade to >100 PB/year once all instruments are back online. To meet this data challenge, the APS Beamline Data Pipeline project team is partnering with beamline staff to develop and deploy science data pipelines that use a common set of open-source software tools (many written in Python) to link instruments with the Polaris supercomputer at the Argonne Leadership Computing Facility (ALCF) for data processing. This talk will describe the APS data systems, our file-based and streaming pipeline templates, and some of the open-source software we use to extract scientific insights from beamline data. **Audience Takeaway:** Open source Python data acquisition and analysis tools are ubiquitous at the APS. Many of the packages that are mentioned can be found at [https://github.com/AdvancedPhotonSource](https://github.com/AdvancedPhotonSource). This is a *hybrid* event. To attend online, join us on Zoom here at 6pm: [https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1](https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1) **Sponsor**: Grainger will provide the meeting site, as well as snacks for the onsite participants. * **Address:** 222 W Merchandise Mart Plaza, 18th Floor, Chicago, IL 60654 * **Grainger's Overview:** W.W. Grainger, Inc., is a leading broadline distributor with over $17 billion in revenue. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with maintenance, repair, and operating (MRO) products and services delivered through innovative technology and deep customer relationships. Our machine learning team builds broadly across search, recommendations, product matching, computer vision, and generative AI. * **Logistics**: To access the Grainger office, we require **first and last names** of those who RSVP'd by **Feb 11**. Please take the main elevators at the center of the Mart. Attendees will then present their **IDs** when they arrive at the front desk on the 18th floor.

**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). Lonnie Morgan will be presenting information about the DLT Library. "The Python library `dlt` provides a powerful [REST API toolkit](https://dlthub.com/docs/dlt-ecosystem/verified-sources/rest_api/basic) to ingest data. Combined with our [LLM scaffolds](https://dlthub.com/workspace) and [MCP server](https://dlthub.com/docs/hub/features/mcp-server), you can build a custom connector for any of the 8k+ available sources in 10 minutes by following this guide. Building with LLMs is an iterative process. We will follow this general workflow and give practical tips for each step." See Our [Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com

**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 **Abstract** TBD **YouTube Link** TBA

Meet at Wolfe Park parking lot by tennis courts. We willl walk along Alum Creek trail, through Jeffrey Mansion Park then along Bexley neighborhood and back. Optional lunch at Trolley District.