How to create a real-time materialized view in PostgreSQL
In this article, we’ll discuss an example workflow that uses Estuary Flow to create a real-time materialized view in Postgres.
materialized view
Try it yourself: Continuous materialized views in PostgreSQL
Estuary Flow lets you synchronize data across all the systems you care about, with millisecond latency. What does that actually look like in practice? Here’s a simple — but powerful — example.
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.
Three data scaling pitfalls and how to avoid them
Being prepared for data scalability challenges and staying aware of best practices can help you avoid common issues.