Data Architecture

This article defines the data dictionary, explores its technical components, compares it to data catalogs, and outlines practical scenarios for its use within a scaling 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.

Hadoop is an open-source framework for distributed storage and processing. This guide explains its components, scaling logic, and relevance for startups navigating big data architecture.

This article explains graph databases for founders, focusing on how connecting data points through nodes and edges can solve complex relationship problems in a startup environment.