Uma Mahesh

Concept Explanation Polyglot persistence refers to the architectural practice of using multiple database types within a single application, particularly in microservices architectures, to leverage the strengths of different databases for specific data storage and access patterns. In microservices, where each…

Concept Explanation Event Sourcing and Command Query Responsibility Segregation (CQRS) are advanced architectural patterns that enhance data management in modern systems, particularly in distributed and high-performance applications. These patterns address challenges in scalability, auditability, and flexibility by decoupling data storage and processing. Event…

Concept Explanation Distributed databases are systems that store and manage data across multiple nodes or servers, enabling horizontal scalability, fault tolerance, and high availability in large-scale applications. Unlike traditional single-node databases, distributed databases partition data and replicate it across a…

Introduction Data structures form the foundation of high-performance database systems, enabling efficient storage, retrieval, and querying of vast and diverse datasets. Among these, B-Trees, B+ Trees, Hash Tables, Log-Structured Merge Trees (LSM Trees), Bloom Filters, Tries (Prefix Trees), Skip Lists, Bitmaps, R-Trees, and Inverted Indexes are pivotal in optimizing database performance…

Concept Explanation PostgreSQL, often referred to as Postgres, is an advanced, open-source relational database management system (RDBMS) renowned for its robustness, extensibility, and adherence to SQL standards. As of the current date, PostgreSQL has evolved into a versatile database supporting…

Introduction Storage systems are foundational to modern computing, enabling applications to store, manage, and retrieve data efficiently. Three primary storage paradigms—file storage, object storage, and block storage—address distinct needs in terms of data organization, access patterns, and scalability. Each system offers unique…

Introduction As applications grow in user base, data volume, and request rates, scaling databases becomes essential to maintain performance, availability, and reliability. Scaling enables databases to handle increased loads (e.g., 100,000 requests/second) and data volumes (e.g., petabytes) while ensuring low…

Introduction As modern applications handle increasing data volumes and user traffic, scaling databases becomes critical to maintain performance, availability, and reliability. Database sharding, partitioning, and other scaling techniques enable databases to distribute data and workload across multiple nodes, ensuring low latency, high throughput, and…

Introduction Indexing is a fundamental technique in database systems to enhance query performance, enabling rapid data retrieval by minimizing the need to scan entire datasets. By creating data structures that provide efficient access paths to data, indexes significantly reduce query…

Introduction Durability is a cornerstone of the ACID (Atomicity, Consistency, Isolation, Durability) properties that ensure reliable database transactions, guaranteeing that once a transaction is committed, its changes are permanently saved, even in the event of system failures such as power…