The Data Standard

The Data Standard Audio Experience with Catherine Tao and Nivi Arunachalam
The Data Standard Audio Experience with Catherine Tao and Nivi Arunachalam about data quality

Episode Summary

In order for analytics and machine learning projects to be useful, they require a high degree of data quality. To ensure that your pipelines are healthy you need a way to make them observable. In this episode, Nivi shares the leading causes of what they refer to as data downtime and how it manifests. Nivi also discusses methods for gaining visibility into the flow of data through your infrastructure, how to diagnose and prevent potential problems.

Meet the Hosts

Catherine Tao

Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.

Nivi Arunachalam

Technology Leader -Head of Data Engineering/Data Management
Proven strategic and visionary technology leader with 18 years proven track record of building critical and strong partnerships across business lines. Effective at driving consensus to deliver innovative and robust technological solutions in the area of data management, data governance, and data services and data analytics.