Free Labs
Learn by doing. Our Labs are short, practical projects that teach you modern data tools through real scenarios.
Each Lab includes videos, code, and architecture diagrams you can follow step by step.
Coming Soon:
Give your AI tools access to data that’s spread across different systems. You’ll take a retail dataset split between Postgres, Databricks and S3, bring it together in a unified semantic layer with Zetaris Cloud, and query it from Claude, Cursor and Power BI to find out which marketing campaigns pay off.
Databricks Data Quality Monitoring with Zapier
Learn how to use Zapier's MCP server and SDK to turn Databricks data quality results into answers, dashboards, and alerts that reach the right owner. You'll build it all hands-on with Claude, Google Sheets, and Gmail.
High-Performance Data Analysis with Exasol
Learn how to use Exasol as a high-speed, massively parallel analytics database in modern data architectures. Run complex analytical workloads, execute custom logic directly inside the database, and explore AI-powered use cases.
Spark Declarative Pipelines and Lakeflow Designer on Databricks
Learn how to move from notebook-based workflows to structured, production-ready pipelines in Databricks using a modern declarative approach.
Building Advanced Pipelines with Kestra on GCP
Learn how to orchestrate scalable, production-ready workflows with Kestra on GCP, including retries, triggers, and monitoring.
DuckDB for Data Engineers: From Local to Cloud with MotherDuck
Learn how to build data workflows that run on your laptop, in the cloud, or across both using DuckDB and MotherDuck.
Python for Data Engineers
With this comprehensive course, you will expand your Python skill set to tackle complex Data Engineering projects with ease.
Docker Fundamentals
Learn all the fundamental Docker concepts with hands-on examples
Partners
Discover technical deep dives and tutorials directly from the teams building the modern data stack, including walkthrough videos by me and workshop sessions with their teams.
Watch, learn, and explore their tools in real use cases.
AI Data Harness
Zetaris
Zetaris gives AI tools like Claude and Cursor governed access to your data where it already lives. Snowflake, Databricks, S3 and on-prem sources, queried in place from your own cloud.
Hybrid Data Platform
Acceldata
The company that helps enterprises unify pipeline authoring, execution, observability, and management across on-prem and cloud, so data teams stop stitching together tools for every stage of the lifecycle.
Workflow Automation
Zapier
A leader in no-code workflow automation, connecting over 9,000 apps to help businesses move data and automate processes across their entire tech stack.
Data & AI Solutions
Databricks
Databricks provides a unified platform for data engineering, analytics, and machine learning at scale.
Data Orchestration
kestra
An open-source company focused on simplifying complex data orchestration with a developer-friendly, declarative approach.
Analytics Data Stores
MotherDuck
A modern data company building tools around DuckDB to make analytics fast, collaborative, and accessible in the cloud.
Analytics Platform
Exasol
Exasol is a low-latency, high-performance analytics platform designed for complex analytical workloads.
Enterprise Data & AI Solutions
IBM
A global leader in technology and consulting, IBM supports teams in building secure and scalable solutions.
Data Observability
Databand
Part of IBM, Databand helps organizations improve data reliability through proactive data observability solutions.
Data Orchestration
Astronomer
The company behind Apache Airflow, supporting teams worldwide in orchestrating and managing data workflows at scale.
Stream Processing
Lenses
A data-streaming company helping teams operate, observe, and govern real-time data systems built on Apache Kafka.
Building LLM Apps
Arato
A technology company enabling businesses to create and deploy production-ready AI applications with transparency and control.
