Arunangshu Das

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 […]

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

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

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

When people talk about trading success, they usually focus on strategy, risk management, and market trends. But behind every successful trading system is a solid database architecture. If your database is slow, unreliable, or not optimized for real-time decision-making, your

In the world of trading, speed and reliability are everything. Whether you’re building an automated trading system or managing large-scale financial data, the database you choose plays a crucial role. A poorly optimized database can lead to slow query times,

Choosing the right database for a trading application is a critical decision that can significantly impact performance, reliability, and scalability. Traders and developers often focus on execution strategies, backtesting models, or real-time analytics but overlook the database that powers these

When it comes to algorithmic trading, every millisecond counts. Financial markets generate massive amounts of data in real-time, and efficiently storing, retrieving, and analyzing this data is crucial. This is where time-series databases (TSDBs) come in. Unlike traditional relational databases,