Certainly! Below is a comprehensive list of 100 chapter titles for learning PostgreSQL from beginner to advanced, covering key concepts, architecture, SQL operations, performance optimization, security, backup strategies, and real-world use cases.
- What is PostgreSQL? An Overview of the Database System
- The History and Evolution of PostgreSQL
- PostgreSQL Architecture: Key Components and Design
- Installing PostgreSQL: Step-by-Step Guide
- PostgreSQL Configuration and Setup
- PostgreSQL Clients: Using psql and GUI Tools
- Connecting to PostgreSQL: Authentication and Access Control
- Basic Database Concepts: Databases, Schemas, and Tables
- Understanding PostgreSQL Data Types
- How PostgreSQL Handles Storage and Data Files
- Creating and Dropping Databases in PostgreSQL
- Creating Tables and Defining Data Types
- Inserting, Updating, and Deleting Data in PostgreSQL
- Retrieving Data with SELECT Queries
- Using WHERE Clause for Data Filtering
- Sorting Data with ORDER BY in PostgreSQL
- Understanding and Using Joins in PostgreSQL
- Grouping Data with GROUP BY and Aggregates
- Subqueries in PostgreSQL: Basics and Advanced Techniques
- PostgreSQL Functions and Operators for Data Manipulation
- Window Functions in PostgreSQL
- Working with Arrays and JSON Data Types
- Full-Text Search in PostgreSQL
- Using Common Table Expressions (CTEs) in PostgreSQL
- Recursive Queries in PostgreSQL
- Understanding and Using Views in PostgreSQL
- Creating and Managing Indexes in PostgreSQL
- PostgreSQL Foreign Keys and Referential Integrity
- Triggers and Event-Driven Programming in PostgreSQL
- Defining and Using Stored Procedures in PostgreSQL
¶ Part 4: Data Integrity and Constraints
- Understanding Data Constraints in PostgreSQL
- Defining and Using Primary Keys in PostgreSQL
- Unique, Check, and Exclusion Constraints
- Managing Foreign Keys for Relational Integrity
- Handling NULLs and Default Values in PostgreSQL
- Using Assertions in PostgreSQL
- Validating Data with Custom Constraints
- Error Handling in PostgreSQL
- Data Validation Using Triggers and Functions
- Maintaining Data Integrity with Transaction Management
¶ Part 5: Database Design and Modeling
- Normalizing Databases in PostgreSQL
- Entity-Relationship (ER) Modeling in PostgreSQL
- Designing Many-to-Many Relationships
- Denormalization and Its Use Cases
- Creating and Using Composite Keys
- PostgreSQL Partitioning: Introduction and Best Practices
- Inheritance in PostgreSQL: Using Table Inheritance
- Temporal Data and Handling Dates in PostgreSQL
- PostgreSQL Data Types: Custom Types and Domains
- Designing a Scalable PostgreSQL Schema
- PostgreSQL Query Execution Plan: Understanding and Analyzing
- Indexing Strategies for Performance
- PostgreSQL Query Optimization Tips and Best Practices
- Using EXPLAIN and ANALYZE to Diagnose Performance
- Reducing Query Latency with Indexes and Caching
- Optimizing Joins and Subqueries
- Caching Strategies in PostgreSQL
- Vacuuming and AutoVacuum in PostgreSQL
- Optimizing Autocommit and Transactions for Better Performance
- Handling Large Data Volumes and Partitioning for Performance
- Introduction to PostgreSQL Security Concepts
- Managing Users and Roles in PostgreSQL
- Granting and Revoking Permissions in PostgreSQL
- Using SSL for Secure Connections in PostgreSQL
- Encrypting Data at Rest in PostgreSQL
- Configuring PostgreSQL for Security Best Practices
- Auditing and Logging in PostgreSQL
- Using Row-Level Security (RLS) for Fine-Grained Access Control
- Securing PostgreSQL Backups and Restores
- Protecting PostgreSQL from SQL Injection Attacks
¶ Part 8: Backup and Disaster Recovery
- Backup Strategies for PostgreSQL
- Full, Incremental, and Differential Backups in PostgreSQL
- Point-in-Time Recovery (PITR) in PostgreSQL
- Using pg_dump and pg_restore for Backups
- Logical and Physical Replication in PostgreSQL
- Setting Up Continuous Archiving for Backups
- Automating Backups with Cron Jobs
- Handling Large Databases in Backups
- Disaster Recovery Planning for PostgreSQL
- Restoring from Backups and Ensuring Data Integrity
¶ Part 9: PostgreSQL Replication and High Availability
- Introduction to PostgreSQL Replication
- Setting Up Streaming Replication in PostgreSQL
- Configuring Synchronous and Asynchronous Replication
- Understanding Replication Slots in PostgreSQL
- Logical Replication in PostgreSQL
- PostgreSQL Failover and High Availability Setup
- Using Patroni for High Availability in PostgreSQL
- Monitoring and Managing Replication in PostgreSQL
- Replication Monitoring with pg_stat_replication
- Scaling PostgreSQL with Read Replicas
- Custom Extensions in PostgreSQL
- PostgreSQL and NoSQL: JSONB and Hstore
- Using PostgreSQL with Full-Text Search and Indexing
- Working with Geospatial Data and PostGIS
- Extending PostgreSQL with PL/pgSQL and Custom Languages
- PostgreSQL and Big Data: Integration with Hadoop and Spark
- Using Foreign Data Wrappers for Cross-Database Communication
- PostgreSQL Performance Tuning for Large Systems
- Automating PostgreSQL Administration with Ansible and Puppet
- Case Studies: Real-World PostgreSQL Implementations
These chapters cover the full spectrum of PostgreSQL, from basic installation and SQL operations to advanced topics like replication, performance optimization, security, and high availability. By following this progression, learners can gain a deep understanding of PostgreSQL and develop the skills required to manage and optimize databases in real-world applications.