Live Demo: Solving Spark data observability & optimization with definity

Apache Spark is powerful, but let’s be honest – it can also be a nightmare to run in production, chasing data incidents, pipeline issues, and inefficient performance… Data monitoring is not enough anymore, we need full-stack data observability!

That’s why I’m super excited to explore definity together with CEO Roy Daniel in next week’s live session.

⏰ February 11th – 11am EST / 5pm CET
📅 Add to your calendar: https://bit.ly/3CPHoiB

Roy will walk us through how definity solves some of the biggest challenges for enterprise data teams developing Spark pipelines at high-scale, including:
✅ Monitoring data & pipelines in real-time and proactively preventing data incidents
✅ Minimizing data engineers’ effort and expertise to debug issues
✅ Cutting platform costs and optimizing pipeline run-times effectively
✅ Accelerating platform upgrades and code-changes with CI validation

This is going to be a live demo with some exciting use cases. So, bring your questions, and maybe even your pipeline horror stories – Roy is here to help and we’ll learn something together.

Excited to see you there!
Andreas

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