Data structures

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

This chapter explores design patterns, anti-patterns, and principles that are usually used across development on  .NET. 

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

This Chapter covers data structures in .NET, collections and their implementations, and performance characteristics.

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 will dive into essential concepts every .NET developer should know. This article will focus on C# Core Language and .NET Platform Fundamentals questions.

This guide covered the most popular caching strategies, cache eviction policies, and pitfalls that you might encounter when implementing a cache for your system.

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

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.