Arunangshu Das 
Have you ever worked with a database that seemed chaotic, filled with redundant data, making queries slow and frustrating? If so, then normalization is your best friend. Database normalization is the process of organizing data efficiently to eliminate redundancy and ensure data integrity. Without proper normalization, databases become bloated, slow, and error-prone, leading to inconsistent … Read more
When designing a database, you don’t just throw data into tables and hope for the best. If you do, you’ll likely end up with redundancy, inconsistencies, and inefficient queries that slow down your application. This is where database normalization comes in. Think of normalization as decluttering your database—breaking down complex, messy structures into well-organized, efficient … Read more
When it comes to databases, one of the biggest debates in the tech world revolves around SQL vs. NoSQL. Both have their strengths, and the right choice depends on the specific needs of your project. SQL databases, also known as relational databases, have been around for decades and are great for structured data and complex … Read more
Software architecture plays a crucial role in how applications are built, scaled, and maintained. For years, the monolithic architecture was the dominant approach, where an entire application was developed as a single, unified codebase. However, with the rise of microservices architecture, companies have started shifting toward a more modular and scalable way of building applications. … Read more
When it comes to modern web development, the smooth integration between the backend and frontend is what makes an application function seamlessly. A well-integrated system ensures data consistency, performance efficiency, and a better user experience. But here’s the challenge—how do you pick the right technology to bridge the gap between the frontend and backend? Should … Read more