This chapter explores NoSQL Databases questions that  .NET engineers should be able to answer in an interview.

In this article, we explore practical patterns for data versioning and schema evolution in NoSQL systems.

 Walk through consistency models in distributed systems: Strong, bounded staleness, session, causal, and eventual consistency, explain how they work with examples, and help you understand when each model makes sense.

Practical SQL best practices for developers and DBAs. Learn how to design clean schemas, write readable and efficient queries, avoid common mistakes, and keep your database secure and fast

Learn efficient SQL pagination techniques: offset, keyset, cursor, snapshot, hybrid & more. Understand trade-offs, use cases, and best practices.

Discover why skip-level meetings matter, the benefits for employees, managers, and leaders, plus common pitfalls and a simple agenda with ready-to-use questions to build trust and improve team culture.

Master ASP.NET Core for interviews! Explore middleware, routing, DI, caching, & security with expert Q&A for junior to senior .NET devs.

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 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.