DataOps for business: A comprehensive introduction
DataOps is a holistic approach that recognizes the far-reaching impacts data has for business, and addresses common problems on several fronts.
DataOps is a holistic approach that recognizes the far-reaching impacts data has for business, and addresses common problems on several fronts.
If you set up your architecture right, you just need one, robust data pipeline system.
It’s vital to avoid data-related power imbalances among individuals, teams, and entire businesses. But data democracy takes work.
The “modern data stack” is a framework used to conceptualize how different data tools work together. But there’s more to it than that.
A comprehensive guide to CDC in MySQL for cross-functional teams.
A comprehensive guide to CDC in PostgreSQL for cross-functional teams.
As we navigate this rapidly evolving space, we should be familiar with the challenges of change data capture as it currently exists. But we should not expect them to remain the same for long.
Change data capture, or CDC, is the process of recognizing a change in a source data system so that a downstream system can act on that change, usually by updating a target system to reflect new information.
Or, how to take an organization-first approach to modern data architecture
The simple concept of materialization can tell us a lot about how (and why) data is stored and represented. In this post: logs and tables; data loading and queries; exports, and more.