PostgreSQL Tutorial - High Availability and Disaster Recovery - chirags.in

1. Introduction to Databases
2. Relational Database Concepts
2.1 Introduction to Relational Databases
2.2 Relational Data Model
2.3 Database Design Basics
2.4 Structured Query Language (SQL) Basics
2.5 Advanced SQL Queries
2.6 Joins and Subqueries
2.7 Views and Stored Procedures
2.8 Indexes and Query Optimization
2.9 Transactions and Concurrency Control
2.10 Database Integrity and Security
2.11 Backup and Recovery
2.12 Normalization and Denormalization
3. NoSQL Databases
3.1 Introduction to NoSQL Databases
3.2 Types of NoSQL Databases
3.3 Document-Oriented Databases
3.4 Key-Value Stores
3.5 Columnar Databases
3.6 Graph Databases
3.7 Wide-Column Stores
3.8 NoSQL Data Modeling
3.9 Querying NoSQL Databases
3.10 Scaling and Performance Optimization
3.11 Data Consistency and Concurrency Control
3.12 NoSQL Database Administration
4. NewSQL Databases
4.1 Introduction to NewSQL Databases
4.2 NewSQL Architecture
4.3 Types of NewSQL Databases
4.4 Distributed Database Systems
4.5 NewSQL Data Models
4.6 NewSQL Query Processing
4.7 Scalability and Performance
4.8 Fault Tolerance and High Availability
4.9 Concurrency Control and Consistency
4.10 NewSQL Database Administration
4.11 Use Cases and Applications
4.12 Future Directions and Emerging Trends
5. Database Installation and Configuration
5.1 Introduction to Database Installation
5.2 Understanding Database Software
5.3 Pre-Installation Planning
5.4 Database Installation on Windows
5.5 Database Installation on Linux
5.6 Database Installation on Mac
5.7 Post-Installation Configuration
5.8 Database Security Configuration
5.9 Database Backup and Recovery Setup
5.10 High Availability and Disaster Recovery Setup
5.11 Performance Tuning and Optimization
5.12 Security Best Practices and Compliance
6. Database Client Tools
6.1 Introduction to Database Client Tools
6.2 Understanding Database Client Tools
6.3 GUI Database Client Tools
6.4 Command-Line Database Client Tools
6.5 Web-Based Database Client Tools
6.6 Installation and Configuration
6.7 Connecting to Databases
6.8 Querying and Data Manipulation
6.9 Database Administration Tasks
6.10 Data Visualization and Reporting
6.11 Security and Authentication
6.12 Integration with Development Environments
7. Stored Procedures
7.1 Introduction to Stored Procedures
7.2 Understanding Stored Procedures
7.3 Stored Procedure Syntax and Structure
7.4 Creating Stored Procedures
7.5 Modifying Stored Procedures
7.6 Calling Stored Procedures
7.7 Transaction Management in Stored Procedures
7.8 Accessing Data in Stored Procedures
7.9 Security and Authorization
7.10 Error Handling and Debugging
7.11 Performance Optimization
7.12 Advanced Stored Procedure Concepts
8. Functions
8.1 Introduction to Database Functions
8.2 Understanding Database Functions
8.3 Scalar Functions
8.4 Table-Valued Functions
8.5 Aggregate Functions
8.6 Built-In Functions
8.7 User-Defined Functions (UDFs)
8.8 Modifying Functions
8.9 Calling Functions
8.10 Security and Authorization
8.11 Performance Optimization
8.12 Advanced Function Concepts
9. Relational Database Concepts
9.1 Introduction to Database Triggers
9.2 Understanding Triggers
9.3 Trigger Syntax and Execution
9.4 Creating Triggers
9.5 Modifying Triggers
9.6 Trigger Events and Actions
9.7 Accessing Data in Triggers
9.8 Transaction Control in Triggers
9.9 Trigger Security
9.10 Performance Considerations
9.11 Advanced Trigger Concepts
9.12 Best Practices and Guidelines
10. Views
10.1 Introduction to Database Views
10.2 Understanding Views
10.3 Creating Views
10.4 Modifying Views
10.5 Querying Views
10.6 Updating Views
10.7 View Security
10.8 Materialized Views
10.9 Indexed Views
10.10 Dynamic Views
10.11 View Optimization Techniques
10.12 Advanced Topics and Best Practices
11. Database Design and Modeling
11.1 Introduction to Database Design and Modeling
11.2 Entity-Relationship (ER) Modeling
11.3 Normalization and Denormalization
11.4 Relational Schema Design
11.5 Data Modeling Best Practices
11.6 Schema Refinement and Optimization
11.7 Temporal and Spatial Data Modeling
11.8 Data Warehousing and Dimensional Modeling
11.9 Modeling Complex Data Structures
11.10 Modeling for NoSQL Databases
11.11 Modeling for Big Data and Analytics
11.12 Data Governance and Documentation
11.13 Data modeling best practices
12. SQL Queries
12.1 Introduction to SQL Queries
12.2 SELECT Statement
12.3 WHERE Clause
12.4 ORDER BY Clause
12.5 Aggregate Functions
12.6 Joins
12.7 Subqueries
12.8 Set Operations
12.9 Conditional Expressions
12.10 String Functions
12.11 Date and Time Functions
12.12 Advanced SQL Techniques
13. Data Definition Language (DDL)
13.1 Introduction to Data Definition Language (DDL)
13.2 Creating and Dropping Database Objects
13.3 Altering Database Objects
13.4 Constraints in DDL
13.5 Indexes in DDL
13.6 Views in DDL
13.7 Sequences and Synonyms
13.8 Partitioning Tables
13.9 Data Dictionary Views
13.10 DDL in Transaction Management
13.11 DDL Best Practices and Guidelines
13.12 Advanced Topics in DDL
14. Data Manipulation Language (DML)
14.1 Introduction to Data Manipulation Language (DML)
14.2 SELECT Statement
14.3 Joins
14.4 Subqueries
14.5 Set Operations
14.6 INSERT Statement
14.7 UPDATE Statement
14.8 DELETE Statement
14.9 Transactions and Transaction Control
14.10 Data Manipulation with Views
14.11 Data Manipulation Best Practices and Performance
14.12 Advanced DML Techniques
15. Data Query Language (DQL)
15.1 Introduction to Data Query Language (DQL)
15.2 SELECT Statement
15.3 JOIN Operations
15.4 Subqueries
15.5 Set Operations
15.6 Aggregate Functions
15.7 Window Functions
15.8 String and Date Functions
15.9 Pivoting and Unpivoting Data
15.10 Dynamic SQL
15.11 Common Table Expressions (CTEs)
15.12 Query Optimization
16. Data Control Language (DCL)
16.1 Introduction to Data Control Language (DCL)
16.2 GRANT Statement
16.3 REVOKE Statement
16.4 Role-Based Access Control (RBAC)
16.5 User Management
16.6 Privilege Hierarchy and Inheritance
16.7 View Security
16.8 Row-Level Security
16.9 Auditing and Logging
16.10 Database Encryption
16.11 Database Authentication
16.12 Database Security Best Practices
17. Transaction Control Language (TCL)
17.1 Introduction to Transaction Control Language (TCL)
17.2 COMMIT Statement
17.3 ROLLBACK Statement
17.4 SAVEPOINT Statement
17.5 Transaction Management Best Practices
17.6 Error Handling and Transaction Recovery
17.7 Isolation Levels and Transaction Control
17.8 Nested Transactions
17.9 Concurrency Control and Locking
17.10 Transaction Logs and Recovery
17.11 Distributed Transactions
17.12 Transaction Control in Advanced Scenarios
18. Query Optimization
18.1 Introduction to Query Optimization
18.2 Query Execution Process
18.3 Query Analysis and Profiling
18.4 Indexing Strategies
18.5 Join Optimization
18.6 Predicate Optimization
18.7 Subquery Optimization
18.8 Query Rewriting and Transformation
18.9 Materialized Views and Query Rewrite
18.10 Statistics and Cost Estimation
18.11 Parallel and Distributed Query Processing
18.12 Case Studies and Advanced Topics
19. Transaction Management
19.1 Introduction to Transaction Management
19.2 Transaction States and Lifecycle
19.3 Concurrency Control
19.4 Locking Mechanisms
19.5 Two-Phase Locking (2PL) Protocol
19.6 Timestamp-Based Concurrency Control
19.7 Multi-Version Concurrency Control (MVCC)
19.8 Isolation Levels
19.9 Transaction Logging and Recovery
19.10 Distributed Transactions
19.11 Optimistic Concurrency Control
19.12 Advanced Topics and Emerging Trends
20. Database Security
20.1 Introduction to Database Security
20.2 Authentication and Authorization
20.3 Encryption Techniques
20.4 Database Auditing and Compliance
20.5 Database Security Models
20.6 Database Vulnerability Assessment and Penetration Testing
20.7 Database Hardening and Configuration Management
20.8 Database Security Monitoring and Incident Response
20.9 Secure Coding Practices for Databases
20.10 Database Backup and Recovery for Security
20.11 Database Security in Cloud Environments
20.12 Emerging Trends and Future Directions in Database Security
21. Database Backup
21.1 Introduction to Database Backup and Recovery
21.2 Backup Strategies
21.3 Backup Tools and Utilities
21.4 Backup Techniques
21.5 Automation and Scripting
22. Database Recovery
22.1 Recovery Models
22.2 Recovery Techniques
22.3 Disaster Recovery Planning
22.4 Restore strategies
22.5 Automation and Scripting
23. High Availability and Disaster Recovery
23.1 Introduction to High Availability (HA) and Disaster Recovery (DR)
23.2 High Availability Concepts
23.3 Disaster Recovery Planning
23.4 Business Continuity Management
23.5 Data Replication
23.6 Failover and Failback Procedures
23.7 Clustering and Load Balancing
23.8 Data Backup and Restore
23.9 Data Archiving and Retention
23.10 Cloud-Based High Availability and Disaster Recovery
23.11 Monitoring and Testing
23.12 Continuous Improvement and Optimization

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PostgreSQL Tutorial - 23. High Availability and Disaster Recovery

23.1 Introduction to High Availability (HA) and Disaster Recovery (DR)

Overview of HA and DR concepts and principles

Importance of ensuring continuous availability and data protection

Key differences between HA and DR strategies

23.2 High Availability Concepts

Understanding the requirements for high availability

Redundancy and fault tolerance in system design

Strategies for minimizing downtime and maximizing uptime

23.3 Disaster Recovery Planning

Introduction to disaster recovery planning

Identifying potential risks and threats to system availability

Developing a comprehensive disaster recovery plan

23.4 Business Continuity Management

Integrating HA and DR into business continuity management

Establishing recovery time objectives (RTO) and recovery point objectives (RPO)

Business impact analysis and risk assessment

23.5 Data Replication

Introduction to data replication techniques

Synchronous vs. asynchronous replication

Replication topologies: Master-slave, master-master, multi-master

23.6 Failover and Failback Procedures

Implementing failover and failback procedures for high availability

Automating failover processes

Testing failover and failback scenarios

23.7 Clustering and Load Balancing

Introduction to clustering and load balancing technologies

High availability clustering solutions (e.g., failover clustering, load balancing clusters)

Implementing load balancers for distributing traffic

23.8 Data Backup and Restore

Importance of data backup in disaster recovery

Backup strategies: Full, incremental, differential backups

Implementing backup and restore procedures

23.9 Data Archiving and Retention

Introduction to data archiving and retention policies

Archiving strategies for long-term data storage

Ensuring compliance with regulatory requirements

23.10 Cloud-Based High Availability and Disaster Recovery

Leveraging cloud services for HA and DR

Disaster recovery as a service (DRaaS) solutions

Implementing cloud-based backup and recovery strategies

23.11 Monitoring and Testing

Monitoring system health and availability

Proactive monitoring for detecting potential failures

Regular testing and simulation of disaster recovery scenarios

23.12 Continuous Improvement and Optimization

Evaluating and optimizing HA and DR strategies

Incorporating feedback and lessons learned into improvement plans

Staying abreast of new technologies and best practices in HA and DR

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