When working with RDBMS, knowing key SQL commands is essential. These "keywords" are reserved words used to perform specific actions on the database. Retrieves data from a database. INSERT INTO: Adds new data. UPDATE: Modifies existing data. DELETE: Removes data. WHERE: Filters records. JOIN: Combines rows from two or more tables.
Relational databases structure data into tables with rows and columns. They are ideal for complex queries and applications requiring high data consistency, such as financial systems. MySQL , PostgreSQL, Oracle, Microsoft SQL Server. Language: Uses Structured Query Language (SQL). B. NoSQL Databases
MongoDB (Document), Cassandra (Wide-column), Redis (Key-value). C. Vector Databases When working with RDBMS, knowing key SQL commands
The Comprehensive Guide to Database (DB) Management: Types, Technologies, and Future Trends
Databases have evolved to handle different types of data, ranging from rigid tables to unstructured documents. A. Relational Databases (RDBMS) INSERT INTO: Adds new data
Software (like MySQL, PostgreSQL , or MongoDB ) that interacts with users and applications to capture and analyze data.
Always use prepared statements to prevent SQL injection attacks. Conclusion WHERE: Filters records
As artificial intelligence (AI) grows, vector databases have become crucial. They store data as vector embeddings (numerical representations of text, images, or audio) and are essential for Retrieval-Augmented Generation (RAG) in AI applications. Chroma, Qdrant, Milvus. 3. Essential SQL Keywords and Concepts
Use EXPLAIN ANALYZE to understand how your database executes queries and to identify bottlenecks.