🎥 Watts in Your Data Podcast E7: Datatude with Jim Gavigan

In this episode, Denis sits down with Jim Gavigan, founder of Industrial Insight, to discuss Datatude, a framework for measuring your organization’s readiness to leverage industrial data effectively. About the Guest: Jim Gavigan brings 30 years of experience in industrial manufacturing, from vibration analysis and control systems to working at Rockwell Automation and OSIsoft. He founded Industrial Insight in 2016 to help companies maximize the value of their time series data. ...

🎧 Watts in Your Data Podcast E3: Industrial Time-Series Data Quality and Reliability with Timeseer

Data good enough for operations is not necessarily analytics-ready. Exactly one month ago I published the first episode of my Watts in Your Data Podcast. In my opinion, a topic of critical importance that is all too often overlooked, especially with all the buzz around AI. In the most recent episode, I had the pleasure of inviting guest speaker Thomas Dhollander, co-founder of Timeseer.AI. Together we explored critical challenges in industrial time series data reliability and observability. ...

🎧 Watts in Your Data Podcast E1: Introduction

Welcome to my podcast! In this very first episode I introduce the topics of this podcast and explain my background in data. Follow the show About Denis Gontcharov

🎥 Testing Data Quality with Soda Core in Databricks

In this video I demonstrate how to perform data quality checks on a Delta table in Databricks using Soda Core. Soda Core is the open-source Python package developed by Soda. It can be compared to Great Expectations, but is much simpler in my opinion. I enjoy using Soda in my professional projects and will continue exploring this framework. ...

Hosting Great Expectations Data Docs on Azure Blob Storage

Resources Check out the complete code on GitHub. Browse the GX Data Doc on Azure Blob Storage. Use Case Last week I explored Soda as a data quality testing framework for my large enterprise client. This week I’m exploring a more mature alternative called Great Expectations or GX in short. GX generates neat HTML reports called Data Docs that give an overview of your data quality test results. The client wants to share these reports with the team - but not with the world! As the client is already using Azure, hosting the report files on Azure Blob Storage seems like a good solution. ...