Data Latency

This article explains streaming data for founders, detailing its continuous nature, how it compares to batch processing, and the practical challenges of implementing real-time data architectures in a startup environment.

Batch processing is a method of executing high-volume data tasks in groups, allowing startups to optimize computational resources and simplify operational workflows through scheduled, non-manual execution.

Inference is the process of using a trained machine learning model to make predictions. This guide covers how it works, cost implications, and deployment strategies for startups.