Why TypeScript for real-time data transformation?
Using TypeScript for transformations allows us to prevent many of the common types of pipeline failures that might otherwise slip through the cracks.
Using TypeScript for transformations allows us to prevent many of the common types of pipeline failures that might otherwise slip through the cracks.
Software and data engineering are very different, but you can apply the same best practices to both – if you’re smart about the context.
Your data storage system might be a data swamp masquerading as a data warehouse. Here’s how to tell, and what to do.
If you set up your architecture right, you just need one, robust data pipeline system.
A comprehensive guide to change data capture in MySQL for cross-functional data teams.
A comprehensive guide to change data capture in PostgreSQL for cross-functional data 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