Author: Yvonne Parks

Why Master Data Management Matters

Picture a multinational enterprise laden with systems, departments, and workflows, all pulsating with data. The anatomy of this organization is complex, and at its heart is the "master data"—the foundational information upon which everything else pivots. The question begging an answer is, how can businesses ensure that this critical data remains consistent and accurate? This inquiry forms the cornerstone of Master Data Management (MDM), a discipline focused on the integrity and coherence of core business information.

The Anatomy of Master Data

To appreciate the significance of MDM, we first need to grasp what master data actually is. Unlike transactional data, which captures the events occurring within an organization, or analytical data, which serves the purpose of insight generation, master data refers to the core information that represents the business entities that are key to an enterprise's operations. This could be customer names, product IDs, employee records, and other foundational information.

What Are API Rate Limiting and Throttle Controls?

API rate limiting and throttle controls are techniques used to regulate the rate at which API requests are processed. They play a crucial role in managing the flow of incoming requests to an API, preventing overloading, and ensuring optimal performance and resource utilization.

Rate limiting involves setting a maximum limit on the number of API requests that can be made within a specific time frame. Once the limit is reached, additional requests may be blocked or delayed until the next time frame. Rate limiting helps prevent API overloads, improves stability, and ensures fair usage among API consumers.