Videos Library

Product Demos & Talks on Agentic Data Engineering

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Product demos

demo

Compare code change with AI Assistant

See how definity’s AI Assistant helps you compare code versions in CI and instantly understand what really changed.

February 27, 2026

demo

RCA with AI Assistant

Watch definity’s AI Assistant performs root cause analysis using real production runtime context

February 19, 2026

Demo video

Detect Orphaned vCores To Cut Compute Waste

How to detect hidden compute waste and optimize Spark costs with vCore-level visibility

October 31, 2025

Demo video

Root-cause data incident across pipelines in 3-clicks

Easily root-causing a data freshness issue in 3-clicks, across pipelines

January 7, 2025

Demo video

Detect degradations in CI before platform upgrade

Accelerating Spark platform migrations & de-risking platform upgrades

December 3, 2024

Demo video

Detect data issues in CI before code change

Seamlessly validating pipeline code changes in CI

December 2, 2024

Demo video

Optimize Spark performance & cost

Optimizing Spark pipeline performance & resource utilization, to ensure SLAs and cut platform costs

November 6, 2024

Talks

talk

Data Pipelines in the Age of Agentic AI

Josue Borgan hosts definity’s CEO, Roy Daniel, to explore what “agentic AI” means for infrastructure and data systems beyond chatbots and copilots, and why truly self-healing data platforms remain rare in real-world production environments.

Lightning talk

DAIS 2025: How you could be saving 50% of your Spark costs?

Learn more about hidden Spark costs, optimizations, and in-motion observability

Interview

Future of data observability & trends at Gartner D&A

Key data engineering trends today and the future of data management actionability & finops

Webinar

Solving Spark data observability & optimization with definity

The biggest challenges for Spark data teams at-scale, and how definity helps solve

February 13, 2025

Interview

What is full-stack data observability?

What is all the hype around full-stack data observability and how does it transform data engineering today?

January 22, 2025