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.
Data basics
Why you don’t actually need a reverse ETL platform
If you set up your architecture right, you just need one, robust data pipeline system.
Data for all: Why data democratization matters at every scale
It’s vital to avoid data-related power imbalances among individuals, teams, and entire businesses. But data democracy takes work.
Understanding the modern data stack, and why open-source matters
The “modern data stack” is a framework used to conceptualize how different data tools work together. But there’s more to it than that.
The complete change data capture guide for MySQL
A comprehensive guide to CDC in MySQL for cross-functional teams.
The complete change capture guide for PostgreSQL
A comprehensive guide to CDC in PostgreSQL for cross-functional teams.
3 reasons to rethink your approach to change data capture
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.
A comprehensive introduction to change data capture (CDC)
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.
This article won’t tell you how to build a data mesh
Or, how to take an organization-first approach to modern data architecture
The power and implications of data materialization
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.