GAZAR

Scaling a database is crucial for ensuring that your application can handle increasing amounts of data and user requests while maintaining performance and reliability. Here, we explore various strategies for scaling your database, including indexing, materialized views, denormalization, vertical scaling, caching, replication, and sharding.

Session storage is a valuable tool for web developers, allowing them to store data locally within the user's browser session. While it offers convenience and simplicity, it's essential to understand its limitations to use it effectively. In this article, we'll explore the constraints of session storage and demonstrate how to leverage it in TypeScript applications with practical examples.

Prisma, an influential ORM (Object-Relational Mapping) tool, simplifies database interactions for developers, and its support for indexes stands out as a game-changer in enhancing database performance. In this comprehensive guide, we'll delve into Prisma indexes, uncovering expert tips to optimize your database performance.

One of the primary limitations of cookies is their limited storage capacity. Browsers typically impose a maximum cookie size limit, which varies between browsers but is commonly around 4 KB per cookie and 50 cookies per domain. TypeScript developers must be mindful of these constraints when storing data in cookies:

One of the primary constraints of LocalStorage is its storage capacity. Each origin, determined by the combination of protocol, hostname, and port number, typically has a maximum storage limit enforced by browsers, usually ranging from 5 to 10 MB. Here's how TypeScript developers can handle this limitation:

The CAP theorem, also known as Brewer's theorem, posits that it is impossible for a distributed data system to simultaneously guarantee all three of the following attributes:

ACID is an acronym that stands for Atomicity, Consistency, Isolation, and Durability. These four principles form the cornerstone of transaction management in database systems, ensuring that data operations are performed reliably and consistently.

Normalization is a systematic process of organizing data in a relational database to reduce redundancy and dependency, thereby enhancing data integrity and efficiency. The goal of normalization is to structure the database schema in a way that minimizes data redundancy and ensures each piece of information is stored in only one place.

Database sharding is a crucial technique for scaling databases horizontally to handle increasing data volumes and traffic. In this technical article, we'll delve into the concept of sharding, explore its benefits and challenges, and provide a step-by-step guide on how to implement sharding in your database architecture.

Replication in databases is a technique used to create and maintain copies of data across multiple servers, known as replicas. These replicas are synchronized with the primary database to ensure data consistency and availability. In this technical article, we'll delve into the concept of database replication, explore its benefits, and provide code examples to illustrate its implementation.

Efficient database query optimization is crucial for improving application performance, reducing response times, and minimizing resource consumption. In this technical article, we'll explore various methods and best practices to optimize database queries, focusing on techniques applicable to both SQL and NoSQL databases. We'll discuss indexing, query tuning, caching, denormalization, and other strategies with practical examples to illustrate their impact on query performance.

In the realm of databases, there are two main categories: SQL (Structured Query Language) and NoSQL (Not Only SQL). Each type offers distinct features, advantages, and use cases. In this comprehensive article, we'll delve into the differences between SQL and NoSQL databases, exploring their characteristics, data models, query languages, scalability, and real-world applications. By the end, you'll have a clear understanding of when to choose SQL or NoSQL for your specific project requirements.