MariaDB Architecture: Understands the structure and components of MariaDB, including its server, storage engines, and client utilities. Knowledge of architecture is essential for effective deployment and maintenance.
SQL Query Optimization: Involves writing efficient SQL queries to minimize latency and resource consumption. Optimized queries are crucial for performance tuning and ensuring the database handles large datasets effectively.
Data Types and Indexing: Knowledge of various data types and indexing methods to improve query performance and storage efficiency. Proper use of data types and indexes can significantly affect the speed and performance of database operations.
Stored Procedures and Functions: Utilizes stored procedures and functions for encapsulating repeated SQL code and logic within the database. This promotes code reuse and enhances security by reducing SQL injection risks.
Triggers and Events: Manages actions that automatically run in response to certain table modifications or scheduled intervals. Triggers and events are essential for automating database management tasks and maintaining data integrity.
Replication and Clustering: Involves configuring and maintaining multiple database instances for high availability and load balancing. Replication and clustering provide redundancy and improve database reliability.
Backup and Recovery: Focuses on creating backup strategies for data protection and defining recovery processes for data restoration. Essential for preventing data loss and ensuring business continuity.
Security and Access Control: Ensures that proper authentication and authorization mechanisms are in place to protect the database from unauthorized access. Crucial for safeguarding sensitive data and complying with regulatory requirements.
Performance Tuning: Encompasses techniques and best practices for optimizing the database's performance. Essential for maintaining efficiency, especially in high-load environments.
Transactions and ACID Properties: Involves managing database transactions to ensure data consistency, isolation, and durability. Transactions adhering to ACID properties are vital for data reliability and integrity.
MariaDB Storage Engines: Understanding different storage engines (e.g., InnoDB, MyISAM) and their use cases. Storage engines impact how data is stored, managed, and retrieved in the database.
SQL Joins and Subqueries: Employs complex SQL techniques to gather and manipulate data across multiple tables. Joins and subqueries enable comprehensive data analysis and reporting, increasing query flexibility and functionality.
