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MySQL DBA

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MySQL DBA

MySQL DBA

Duration
45 Hours

Course Description

            A MySQL Database Administrator (DBA) manages, maintains, and ensures the performance, security, and availability of MySQL databases. They handle tasks like database installation, configuration, performance tuning, backup and recovery, security management, and troubleshooting. They also collaborate with development teams on database design and optimization. 

Course Outline For MySQL DBA

1. Introduction to MySQL and database administration

  • MySQL Overview: Understanding MySQL as an open-source relational database management system (RDBMS).
  • MySQL Architecture: Exploring the components of MySQL, including the client/server model, storage engines, and communication protocols.
  • Roles and Responsibilities of a MySQL DBA: Defining the duties of a DBA, such as database design, installation, configuration, security, backup and recovery, and performance tuning.
  • MySQL Tools: Introduction to tools like MySQL Workbench, phpMyAdmin, MySQL Shell, and Percona Toolkit. 

2. MySQL installation and configuration

  • Installation: Installing MySQL on different operating systems like Windows and Linux (RPM and binary installation).
  • Starting and Stopping MySQL: Managing MySQL server processes.
  • Configuration: Setting up server parameters and optimizing MySQL for various environments.
  • Understanding Storage Engines: Exploring different storage engines like InnoDB, MyISAM, MEMORY, and their characteristics. 

3. Database management and maintenance

  • Database Creation and Management: Creating and managing databases and tables, defining data types, and setting up constraints and indexes.
  • SQL Querying: Writing and optimizing SQL queries using SELECT, INSERT, UPDATE, DELETE, WHERE, GROUP BY, JOIN operations, and stored routines.
  • Table Maintenance: Performing tasks like analyzing, checking, optimizing, and repairing tables.
  • Views: Creating and managing views to present data in a customized way. 

4. Backup and recovery

  • Backup and Recovery Types: Understanding logical and physical backups.
  • Backup Strategies: Implementing backup strategies, including using mysqldump and potentially other tools like Percona XtraBackup.
  • Restore and Recovery: Performing database restores and point-in-time recovery using binary logs.
  • File System Snapshots: Utilizing file system snapshots for backup and recovery. 

5. MySQL security

  • User Management: Creating and managing user accounts, setting passwords, and granting and revoking privileges.
  • Authentication and Authorization: Understanding security best practices for authentication, access control, and user privileges.
  • Network Security: Implementing firewalls and using SSL/TLS for encrypted connections.
  • Security Auditing: Configuring and reviewing MySQL audit logs.
  • General Security Issues and Best Practices: Discussing common security threats and how to mitigate them. 

6. Performance tuning and optimization

  • Performance Tuning Concepts: Understanding the principles behind performance tuning.
  • Identifying Performance Bottlenecks: Using tools like EXPLAIN and the Slow Query Log to analyze query performance.
  • Query Optimization: Optimizing SQL statements and database schemas.
  • Server Optimization: Tuning MySQL server settings and understanding the impact of hardware.
  • Monitoring: Using monitoring tools like MySQL Enterprise Monitor, Zabbix, and Nagios to track database activity and performance metrics. 

7. High availability and disaster recovery

  • MySQL Replication: Implementing and managing master-slave and master-master replication for high availability.
  • MySQL Clusters: Introduction to MySQL Clusters and high availability frameworks.
  • InnoDB Cluster: Understanding MySQL InnoDB Cluster components like Group Replication, MySQL Router, and MySQL Shell for HA and scalability.
  • Other High Availability Solutions: Exploring other HA solutions like MHA (Master High Availability Manager) and Galera Cluster. 

8. Advanced topics and best practices

  • Partitioning: Implementing table partitioning to improve performance and manage large datasets.
  • INFORMATION_SCHEMA and Performance Schema: Utilizing these system databases for monitoring and troubleshooting.
  • JSON Data Handling: Working with JSON data in MySQL.
  • Integration with Cloud Platforms: Deploying and managing MySQL on cloud services like AWS, Azure, and Google Cloud.
  • Upgrading MySQL: Strategies for upgrading MySQL server versions.
  • Troubleshooting: Diagnosing and resolving common MySQL issues. 
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