AbstractLess: Approach to avoid complexity in your system architecture
This article explores essential data integration patterns, including ETL, ELT, Change Data Capture (CDC), Data Federation, Data Virtualization, Data Replication, Publish/Subscribe, Request/Reply, and Point-to-Point Integration. Learn how and when to use these patterns for efficient data handling and real-time analytics.
Learn about Change Data Capture (CDC), its use cases, types, advantages, and challenges. Get decision-making guidance for selecting the right CDC method to ensure real-time data updates and integration with systems like data warehouses or analytics platforms.
Choosing the right architecture style is important for applications that should be scalable, maintainable, and aligned with business requirements. Each architecture style has unique characteristics, and the choice can impact how the application performs, scales, and evolves. This article explores the top 10 software architecture styles you should know and their pros, cons, and typical use cases.
Unique identifiers are crucial for ensuring data integrity and uniqueness in applications. They help track, reference, and ensure consistency across various systems and services. This article contains a Cheat Sheet and descriptions of the different types of unique identifier generators, their methods, and tradeoff analysis to help you choose the best option for your application.
Learn how to utilize ChatGPT to generate and customize various architecture diagrams in Draw.io. Enhance your workflow efficiency by automating diagram creation with AI.
