Real-Time Data Architecture Patterns

The rapid proliferation and increased volume of data across industries has magnified the need for organizations to have a solid strategy in place for processing and managing real-time data. Improving overall data capabilities enables teams to operate more efficiently, and emerging technologies have even created a smoother pathway for bringing real-time data closer to business users, which plays a critical role in effective decision-making.

This Refcard focuses on architecture patterns for real-time data capabilities, beginning with an overview of data challenges, performance, and security and compliance. Readers will then dive into the key data architecture patterns — their components, advantages, and challenges — setting the stage for an example architecture, which demonstrates how to use open-source tools for a common real-time, high-volume data use case.