Databases

This chapter explores advanced asynchronous programming in .NET, including Tasks, Thread Pools, channels, race conditions, context switches, and best practices.

This article explores essential C# type concepts, providing detailed explanations, code examples, and junior, middle, and senior expectations to enhance your understanding and boost your confidence.

This article considers popular options for storing hierarchical data in SQL and NoSQL databases.

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.

This article discovers the differences between ETL and ELT processes and how they could be used for data integration.

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.

In this article, we’ll explore the Scale Cube in detail, focusing on each axis, how it helps systems scale, and pros and cons.

Weekend Reading is a Digest where we share a selection of the most interesting tech articles from different companies found during the week.

 This article outlines 6 simple steps to help you effectively scale your application, ensuring it can handle increased demand and continue to perform optimally.

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.