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.
If you set up your architecture right, you just need one, robust data pipeline system.
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.
For the past several years, the workforce has been chronically short on data engineers. But what will happen as vendors build services that automate much of their daily work?
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.
Data warehouses like Snowflake and BigQuery are essential to your data stack. Today we’re talking with the two software engineers who built Estuary’s Snowflake and Bigquery connectors to get an inside look at their process.
Being prepared for data scalability challenges and staying aware of best practices can help you avoid common issues.