Cleaning messy data can be time-consuming and tedious. In this tutorial, we will go over some easy SQL tricks to help you with the most common data-cleaning tasks.

Data lineage is a core component of observability. But can you build your own lineage solution, or buy one off-the-shelf? We explore, and make some recommendations.

Inventing a better SQL is easier said than done, even though many have tried. Here's why, in our opinion, SQL is here to stay.

Data mesh is fundamentally NOT a technical issue. Figure out your people and your processes; you data governance comes together from there. Let's explore.

We spoke with Andrew Nguonly, the first data engineer at CartaX, to learn his approach to data reliability and his from-the-trenches tips.

Understanding data lakes, data warehouses, and how they can work together may bring substantial benefits to your organization.

When you're training ML /AI models, the input data selection process matters. Build solid ML/AI model performance with data observability.