Data Observability, Quality & Reliability within Modern Data Stack

By 2025, the estimated global volume of data will reach 180 ZB, more than double the amount in 2020. Yet despite data’s increased presence within organizations, ensuring data quality has received little attention.

This talk will explain what Data Observability is and how it can help data teams detect and stop incident propagation by tracking and measuring data usage across systems, projects, and applications in real-time. We'll also see how it helps organizations efficiently improve dynamics between teams, increase confidence in analytics, and even take part in the Data Mesh architecture.

Pl. join us in this fascinating talk and learn more about building high fidelity and reliable data pipelines.

Speaker Bio
Andy Petrella is an entrepreneur with a Mathematics and Distributed Data background.

Andy is known as an early evangelist of Apache Spark and the Spark Notebook creator in the data community. He is an author of various O'Reilly publications: “What is Data Observability”, “What is Data Governance”, “Distributed Data Science”, “Data Lineage Essentials”, “Machine Learning Model Monitoring”.

Andy is also the founder and CEO of Kensu, a data observability solution implementing the Data Observability Driven Development (DODD) method.