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 strategies for data modeling in NoSQL databases with a focus on schema-less designs. Learn about the advantages, methods, and examples of schema-less NoSQL databases like MongoDB and Cassandra. Gain insights into flexibility, scalability, and optimization tailored to specific use cases.
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.
Learn about graph databases and how they model highly connected data structures using nodes, edges, and properties. Understand the advantages, applications, and examples of graph databases like Neo4j and OrientDB in various industries.
Explore the column-family data model in NoSQL databases. This article details the structure, advantages, and applications of column-family stores, providing insights into scalability, performance, flexibility, and examples like Apache Cassandra and HBase.
An in-depth look at document-oriented databases, highlighting their key features such as schema-less design, document-based storage, and scalability. Explore the benefits of flexible and efficient data management with examples like MongoDB and CouchDB.
Explore the key-value store model in NoSQL databases. This article explains the structure, advantages, and various applications of key-value stores, including caching, real-time analytics, and IoT.
Explore a comprehensive overview of NoSQL databases, covering essential principles, various types, and key advantages. Understand how NoSQL databases differ from traditional RDBMS and learn about their flexibility and scalability.
Explore optimization strategies specific to NoSQL databases and understand the unique challenges they present. This comprehensive guide covers schema design, sharding, caching, consistency management, and more.
Learn how to monitor and profile your database to detect performance bottlenecks. This guide covers key metrics, profiling strategies, and ways to optimize your database for peak performance.
Explore a range of database optimization tools that help analyze and enhance database performance and queries. From SQL Server to MongoDB, discover the tools that best fit your specific database needs and objectives.
Explore various storage optimization techniques to manage database storage space efficiently. From data deduplication to proper indexing, discover methods to reduce costs, enhance performance, and ensure scalability in your data storage system.
Learn how to utilize partitioning to enhance query performance and simplify management of large tables. Explore various partitioning methods like range, list, and hash, and discover how to implement them effectively in your database system.