Advanced Data Engineering Masterclass | Calgary

Discover the latest Snowflake innovations in data engineering from Snowflake Summit 2025 and beyond in this intensive technical presentation series!

Join Snowflake’s Advanced Data Engineering Masterclass to explore groundbreaking features that are transforming modern data workflows. This free, intensive workshop is designed for experienced data engineers and architects who want to stay at the forefront of cloud data platform innovation.

Discover how these cutting-edge capabilities can revolutionize your data pipelines, streamline your development processes, and unlock new possibilities for scalable data engineering solutions.

What You’ll Learn:

Snowflake Openflow
Snowflake Openflow is a data integration service that enables connections between virtually any data source and any destination. Built on Apache NiFi, it provides dozens of connectors ready out-of-the-box with enterprise-ready governance, security, and deployment flexibility. Explore deployment options including Bring Your Own Cloud (BYOC) and Snowflake-managed Snowpark Container Services.

dbt Projects on Snowflake
Explore how Snowflake now hosts dbt, the industry OSS standard for data transformation, transforms raw data into analysis-ready insights within Snowflake’s native environment. This session introduces dbt fundamentals covering code-based transformations and software engineering best practices like testing, version control, and documentation. Discover Workspaces in Snowsight that offer a web-based IDE for dbt projects with Git integration.

Snowpark Connect for Apache Spark™
Learn how to leverage familiar Apache Spark code while benefiting from Snowflake’s performance, security, and scalability advantages. This comprehensive session provides an introduction to Apache Spark™ fundamentals, followed by an architecture deep dive to understand how Snowpark Connect enables you to run your Spark code in a Snowflake warehouse which does all the heavy lifting eliminating the need to provision and maintain Spark clusters. Learn when to use Snowpark Connect versus traditional Snowpark based on your specific use cases.

Real-world Implementation Strategies
Understand production deployment patterns and architectural approaches for integrating all three technologies in enterprise environments.

Each session includes live demonstrations.

Prerequisites

This advanced masterclass is designed for:

✓ Professional Data Engineering Experience: 2+ years working with large-scale data pipelines and cloud data platforms

✓ Snowflake Proficiency: Strong working knowledge of Snowflake fundamentals, SQL, and basic administration

✓ Architecture Understanding: Experience with data platform design and enterprise data workflows

AGENDA

8:00 AM – Registration & Breakfast 

8:30 AM – Snowflake Openflow

9:30 AM – Break

9:45 AM – dbt Projects on Snowflake

10:30 AM – Break

10:45 AM – Snowpark Connect for Apache Spark

11:45 AM – Networking 

12:30 PM – Event Ends