11 articles about Relational Databases — tutorials, explainers and interview questions, newest first.
Delve deep into the world of databases integral to data science. From understanding the essential database skills to the intricacies of relational and NoSQL databases, this comprehensive guide serves as a beacon for data enthusiasts.
Explore the intricacies of working with SQL and NoSQL databases, focusing on widely used systems like SQLite and MongoDB. This guide provides a detailed overview of creating, querying, and managing databases, showcasing their unique characteristics and differences.
Explore caching strategies and data storage solutions in system design. This guide focuses on various caching methods, data storage types, their integration, and how to apply them in different scenarios for interview preparation and professional growth.
Dive into the essential backup strategies and recovery techniques for safeguarding data in relational databases. This guide covers full, incremental, and differential backups, along with recovery methods and tools to ensure data integrity and availability.
Explore the principles of data integrity in databases and learn how to enforce it using constraints such as primary keys, foreign keys, and unique constraints. This guide delves into maintaining accuracy, consistency, and reliability in data management.
Discover the ACID properties in relational databases: Atomicity, Consistency, Isolation, and Durability. Understand how these fundamental principles ensure data integrity, reliable transactions, concurrency control, and recovery mechanisms within the database system.
Explore various indexing strategies in relational databases, such as single-column, composite, clustered, non-clustered, bitmap, and hash indexing. Learn how to choose the right techniques to enhance data retrieval and query performance in your database system.
Understand the process of normalization in relational databases. Learn about the different stages, including 1NF, 2NF, 3NF, BCNF, 4NF, and 5NF, to reduce data redundancy and ensure data integrity, resulting in a more robust and efficient database system.
Explore techniques for maintaining data consistency and integrity using transactions in relational databases. Understand the ACID properties and learn about locking mechanisms, concurrency control, log management, savepoints, and the two-phase commit protocol.
Explore the core principles and components of relational databases. This guide covers tables, relationships, integrity constraints, normalization, data types, indexes, queries, and transactions, providing a solid foundation for understanding relational data management.
Explore the differences between NoSQL and relational databases, understanding their key characteristics, examples, and trade-offs. This guide compares schema flexibility, scalability, consistency, query language, performance, and data integrity to aid in making an informed decision.