Data Engineering School

Welcome to the Data Cloud Academy for Data Engineering. This academy is designed for data engineers at all levels to learn the latest trends and skill sets in Data Engineering.

This program includes curated content from Snowflake Summit 2025 for architects and data engineers, including some of the most popular product sessions, customer stories of how they built data pipelines with Snowflake, and best practices for Data Engineering across these tracks:

  • Data Movement and Integration – ready for AI
  • Building Better Transformations
  • DevOps, Observability and Governance
  • Building a Better Lakehouse

Start the Course Now!

Data Movement and Integration – ready for AI

4 Sessions

  • Demo: Revolutionizing Data Movement with Snowflake Openflow

  • Technical Deep Dive: Snowflake Openflow

  • Demo: Real-Time Insights at Scale: OLTP Database CDC Streaming with Snowflake Openflow

  • Demo: Building streaming pipelines with Snowflake Openflow

Building Better Transformations

8 Sessions

  • Intro & Demo: Scaling Data Pipelines with SQL, dbt Projects, and Python

  • Demo: End-to-End Data Engineering with Python in Snowflake

  • Mastering Data Engineering Migration to Snowflake

  • Intro: Latest and Greatest with Orchestration

  • Intro & Demo Managing Data Transformation Pipelines with dbt Projects in Snowflake

  • Best Practices: Scalable, Secure and Cost-Optimized Orchestration

  • Demo: Best Practices for Accelerating the Data Pipeline Development Lifecycle

  • Best Practices: DT Best Practices for Dynamic Tables

DevOps, Observability and Governance

3 Sessions

  • Intro and Demo: Build, Test, and Deploy Products with Developer Tooling

  • Demo: Observability with Snowflake Trail

  • Demo: Terminal to Production-Ready Snowflake Pipelines

Building a Better Lakehouse

5 Sessions

  • Intro and Demo: Build a better lakehouse

  • Demo: Data Engineer on Iceberg Data Lakes

  • Best Practices: Managing Data with Snowflake Open Catalog

  • Best Practices: Power Declarative Pipelines with Dynamic Tables and Apache Iceberg

  • Best Practices: Ingestion for Snowflake and Apache Iceberg tables