PostgreSQL: A Deep Dive into Advanced Database Techniques

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Core Concepts:

Database architecture and components

Data types and operators

SQL syntax and query optimization

Indexes and constraints

PL/pgSQL:

Procedural language for writing complex functions and triggers

Control flow statements and error handling

Stored procedures and functions

JSON and JSONB:

Storing and querying JSON data

Indexing JSON data

JSON functions and operators

PostGIS:

Spatial data types and functions

Geographic queries and analysis

Mapping and visualization

Full-Text Search:

Text search capabilities

Ranking and relevance scoring

Phrasing and stemming

Query Optimization:

Explain plans and query execution plans

Indexing strategies and performance impact

Query rewriting and optimization techniques

Performance Monitoring and Tuning:

Using PostgreSQL's built-in monitoring tools

Identifying performance bottlenecks

Implementing performance tuning strategies

Security Best Practices:

User roles and permissions

Encryption and SSL/TLS

Auditing and logging

High Availability and Disaster Recovery:

Replication and failover

Backup and recovery strategies

Point-in-time recovery

PostgreSQL in the Cloud:

Deploying PostgreSQL on cloud platforms (AWS, Azure, GCP)

Managing and scaling cloud-based databases

High availability and disaster recovery in the cloud

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