22-25 April 2026

DevOps Magic for Successful Data Projects

2025

TL; DR

Are your data projects sinking instead of sailing to success? Break silos, boost collaboration, and drive success with DevOps! Learn to streamline teamwork, automate pipelines with CI/CD, ensure quality with testing, and build scalable, feedback-driven systems. Transform ideas into action!

Session Details

Are your data projects sinking instead of sailing to success? Do great ideas get stuck in limbo, never making it to production? It’s time to change the game.

Break down silos, supercharge collaboration, and take your data projects to the next level with the power of DevOps! In today’s fast-paced world, data engineers, scientists, and operations teams need to work seamlessly—but inefficiencies and roadblocks often derail progress.

This session dives into the core challenges of data projects and shows how DevOps principles can break barriers and drive success. Discover how to spark collaboration with effective communication, foster shared ownership, and build feedback loops that keep processes evolving.

We’ll cover automating data pipelines with CI/CD, implementing unit testing, and using gating to ensure quality and reliability every step of the way. By the end, you’ll have the know-how to streamline teamwork, automate with confidence, and build feedback-driven systems that scale effortlessly.

This isn’t just about solving problems—it’s about creating sustainable, scalable practices for long-term success. Whether you’re new to Azure DevOps or ready to level up, this session will equip you with the tools to turn your data projects into smooth, successful launches.

3 things you'll get out of this session

To equip participants with the knowledge and tools to overcome common challenges in data projects by leveraging DevOps principles. The session aims to foster collaboration, streamline workflows, automate data pipelines, and implement sustainable, scalable practices that ensure quality and reliability, enabling successful project launches and long-term success. Focus Points: 1. Collaboration and Communication 2. Automation of Data Pipelines 3. Monitoring and Observability 4. Continuous Feedback and Improvement

Speakers

Anna-Maria Wykes

linkedin.com/in/anna-maria-wykes-31939454/recent-activity/posts

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Falek Miah

falekmiah.com

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