The Database section covers how to design, query and run databases, relational and NoSQL alike. The guides explain the ideas behind a schema as well as the SQL that uses it, with examples for MySQL, PostgreSQL and SQL Server.
Designing a schema? Begin with constraints and validation rules, which keep bad data out of your tables. For NoSQL, data modelling for schema-less designs and consistency models explain the trade-offs that work differently from SQL. Other guides range from counting NULL and NOT NULL values in a column to what MySQL, PostgreSQL and SQL Server each offer, and from column-family stores to backups.
Preparing for an interview? SQL tricky interview questions works through the questions interviewers use to test SQL. Running a database in production? See backup and recovery strategies for relational databases before you need them.
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.
Explore the features and capabilities of popular Relational Database Management Systems (RDBMS) such as MySQL, PostgreSQL, and SQL Server. Understand their distinct characteristics, comparison, and how they cater to different data management needs.
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 strategies to write efficient SQL queries and optimize database performance. This guide covers using indexes, limiting result sets, selecting necessary columns, avoiding subqueries, using proper joins, and regular monitoring for continuous optimization.
Learn how to design efficient relational database schemas for optimal data organization. This comprehensive guide covers key concepts like normalization, entities, attributes, keys, and the steps in database design, from requirement analysis to physical implementation.
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 crucial aspects of selecting the appropriate NoSQL database for your application's unique requirements. Understand different NoSQL database types, including Document-Oriented, Column-Family, Graph, and Key-Value stores, and learn how to evaluate them based on criteria such as data model, scalability, consistency, performance, support, and budget.
This article explores the various consistency models in NoSQL databases, including strong consistency, eventual consistency, causal consistency, and tunable consistency. Understand how these models affect data integrity and the trade-offs involved in implementing them, with examples from popular NoSQL databases like Cassandra, MongoDB, and Riak.
Explore how NoSQL databases handle scalability and maintain high availability. This comprehensive guide dives into key concepts like horizontal scaling, sharding, load balancing, replication, failover, and consistency. Understand how popular NoSQL databases like Cassandra, MongoDB, and Redis implement these principles.