How to Use AI to Position Your Startup to Buyers

Data Engineers in Toronto October 2026 Semimonthly Meeting Topic: Introduction to the data build tool (dbt) Abstract: Many people learn from the Jaffle Shop sample dbt project. However, the complexity of the project is quite simple. What I really wanted is a project that goes over the following dbt concepts: • Seed raw data tables • Transform raw data using views • Support multiple databases with macros • Capture slowly changing dimensions type • Incremental loading of large data • Use ephemeral tables as a place holder • Use dbt utils package to make a date dimension • Create a dimensional model for reporting • Save pre-canned queries in analyses directory • Test data quality using property/schema files • Output custom data quality exceptions to a table • Create documentation based on model design In the end, I created my own sample dbt project using the Chinook database schema as the foundation. I must thank Luis Rocha for the OLTP database design and sample data. This open source project was built using an Fabric SQL Database as the target. However, it can be built on any supported database using the correct dbt adapter and ODBC driver. At the end of this presentation, a data engineer will be ready to model data for any given database or warehouse. Speaker: John Miner, Senior Data Architect at Insight Digital Innovation Speaker Profile: John Miner is a Senior Data Architect at Insight Digital Innovation helping corporations solve their business needs with various data platform solutions. He has over thirty years of data processing experience, and his architecture expertise encompasses all phases of the software project life cycle, including design, development, implementation, and maintenance of systems. His credentials include undergraduate and graduate degrees in Computer Science from the University of Rhode Island. Also, he has earned certificates from Microsoft for Database Administration (MCDBA), System Administration (MCSA), Data Management & Analy

Open Coffee Club is a casual gathering of people involved/interested in founding, operating or funding startups. The vibe is more hangout than event and provides people with a regular time and location to talk shop, discuss news, ask questions and and meet others in the startup community they may only see occasionally at more formal events. Location: Nelson the Seagull, 315 Carrall St, Vancouver, BC V6B 2J4 Once You Arrive: You can locate us by looking for the table with the small LED display: "Vancouver Founders Open Coffee Club." Google Maps link to Nelson the Seagull Contact Steve at sdancho@hotmail.com to get a link to join our WhatsApp discussion board. Thanks to our sponsors! Voyer Startup Lawyers - voyerlaw.com See you there!

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Do you already have a good grasp of coding or data? Turn your expertise into a strategic advantage! Access senior roles, specialize in AI and Machine Learning, or become a Data Engineer. Register Here 🎯 On the agenda: Data Science & AI vs Data Engineering: Which specialization matches your profile? Our training programs: technical stack, program content, skills developed, and projects completed Our learning environment: Kitt, Le Wagon's educational platform Funding options: government assistance, employer contributions, payment plans, and advice Live Q&A: Ask our advisors all your questions 👤 This session is for you if: You are a developer and want to pivot towards data/AI You are an analyst and are aiming for roles such as Data Scientist or Engineer. 🚀 Join our upcoming cohorts Data Science & AI: Oct 24, 2026 → Apr 9, 2027 (part-time) Data Engineering: Oct 24, 2026 → Jan 29, 2027 (part-time) Register Here

A Jira ticket goes in, a reviewed PR comes out. Are we all doomed? In this talk I'll take you through how I built OPEN Regenerative Technologies’ AI Lane, what broke along the way, and how designing the machine that ships the features scratched every engineering itch that coding used to. Speaker Guillaume has been writing software for almost 2 decades all around the world. He loves a good technical or human challenge (or both at once), and brings a no-nonsense, candid attitude to the table. Guillaume takes pride in pragmatic technical advocacy when working with cross-functional stakeholders.