Advanced online training for PostgreSQL DBA

Contact us:- tv369.academy@gmail.com. we will respond within 30mins 

Introduction to PostgreSQL for DBAs

• Overview of PostgreSQL architecture
• Roles and responsibilities of a PostgreSQL DBA
• Installation and configuration best practices

  Database Design and Modeling

• Principles of database design
• Normalization and denormalization
• Designing efficient schemas

  Tables and Constraints Management

• Creating and managing tables
• Implementing and managing constraints (primary key, foreign key, unique, check)
• Best practices for table design

  User and Role Management

• Creating and managing users and roles
• Role-based access control
• Best practices for user management and security

  Security and Compliance

• PostgreSQL security features
• Implementing encryption (data at rest, data in transit)
• Compliance and auditing (GDPR, HIPAA)

  Backup and Recovery Strategies

• Understanding backup types (logical, physical)
• Using pg_dump, pg_restore, and pg_basebackup
• Point-in-time recovery (PITR)
• Disaster recovery planning

  Replication and High Availability

• Setting up streaming replication
• Configuring hot standby servers
• Implementing failover mechanisms
• Monitoring replication

  Performance Tuning and Optimization

• Query performance analysis with EXPLAIN and ANALYZE
• Indexing strategies for performance
• Optimizing PostgreSQL configuration parameters (shared_buffers, work_mem, etc.)
• Identifying and resolving performance bottlenecks

  Advanced Indexing Techniques

• Understanding different index types (B-tree, Hash, GIN, GiST, BRIN)
• Creating and managing advanced indexes
• Index maintenance and optimization

  Database Monitoring and Maintenance

• Monitoring PostgreSQL with built-in tools (pg_stat_activity, pg_stat_database)
• Using external monitoring tools (pgAdmin, Nagios, Zabbix, Prometheus)
• Routine maintenance tasks (VACUUM, ANALYZE, REINDEX)

  Partitioning and Table Inheritance

• Implementing table partitioning
• Managing partitions
• Performance benefits of partitioning
• Use cases for table inheritance

  Database Clustering

• Understanding PostgreSQL clustering
• Setting up and managing clusters
• Clustering best practices and use cases

  Upgrading PostgreSQL

• Planning for an upgrade
• Performing an in-place upgrade
• Using pg_upgrade for major version upgrades
• Post-upgrade testing and validation

  PostgreSQL Extensions

• Installing and managing extensions
• Popular PostgreSQL extensions (PostGIS, pg_partman, pg_cron)
• Developing custom extensions

  Data Import and Export

• Importing data using COPY and \COPY
• Exporting data with pg_dump and pg_dumpall
• Data migration strategies

  Advanced SQL Techniques

• Writing complex queries
• Using window functions
• Common Table Expressions (CTEs)
• Advanced joins and subqueries

  Automation and Scripting

• Automating tasks with cron jobs
• Writing scripts for routine maintenance
• Using pg_cron for scheduled jobs

  Logging and Auditing

• Configuring logging in PostgreSQL
• Analyzing logs for performance and security
• Implementing auditing solutions

  Database Security Hardening

• Securing PostgreSQL instances
• Network-level security
• Best practices for securing PostgreSQL

  PostgreSQL on the Cloud

• Deploying PostgreSQL on AWS RDS, Azure Database, and Google Cloud SQL
• Managing cloud-based PostgreSQL instances
• Best practices for cloud deployments

  Using Foreign Data Wrappers (FDW)

• Introduction to FDWs
• Setting up and using FDWs
• Integrating PostgreSQL with other databases and data sources

  Managing Large Databases

• Techniques for handling large datasets
• Partitioning and sharding strategies
• Performance considerations for large databases

  Disaster Recovery Planning

• Creating a disaster recovery plan
• Regular testing and validation of DR plans
• Best practices for disaster recovery

  Database as a Service (DBaaS) Management

• Overview of DBaaS
• Managing PostgreSQL DBaaS instances
• DBaaS best practices and use cases

  Case Studies and Best Practices

• Real-world DBA case studies
• Lessons learned from database incidents
• Best practices for PostgreSQL DBAs