GitLab tutorial for Data geeks: Fell in love with DevSecOps, AI and DataOps
Description
Join us for an intensive half-day (and a bit longer) workshop exploring how GitLab and GitLab Duo AI can transform your data engineering workflows and elevate your DataOps practices. This hands-on session will equip you with practical skills to build, test, and deploy data pipelines more efficiently and reliably. Let's jump into the open-source Data world together.
In this workshop, you'll discover how to:
1. Build data pipelines faster with AI-agentic development – Experience how GitLab Duo accelerates ETL/ELT development, generates transformation logic across Python, SQL, Snowflake, Streamlit and dbt, and provides intelligent code completion tuned for data engineering patterns.
2. Ensure data quality and pipeline reliability – Learn how GitLab Duo helps you write comprehensive data tests, identify pipeline issues before deployment, and automatically document data lineage and transformations for better governance.
3. Automate DataOps workflows with agentic AI – Discover how GitLab Duo autonomously creates CI/CD pipelines for data workflows, troubleshoots failed runs, generates documentation, and streamlines collaboration through AI-assisted code reviews.
Through live demonstrations and hands-on exercises, you'll see how GitLab serves as your unified DataOps platform while GitLab Duo acts as your AI pair programmer for data engineering. You'll leave with actionable strategies to accelerate delivery, improve code quality, and implement robust DataOps practices.
Speaker
Radovan Bacovic
An experienced data engineer forever eager to discover new data technologies in the fast-changing environment. He armoured himself with a profound application development background in large international companies around the globe. Strongly advocated for the open-source community and open-core approach.