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#PostgreSQL Developer

PostgreSQL Developer has become one of the most sought-after roles in modern data-driven organizations. A PostgreSQL Developer specializes in designing, developing, and optimizing database applications using the powerful features of PostgreSQL. They work on creating efficient SQL queries, stored procedures, and data models to ensure high performance and scalability.

PostgreSQL, Advanced Joins
Stored Procedures & Functions
Triggers, Views & CTEs
JSON, Arrays & Data Types
Query Optimization, Indexes
Transactions & Concurrency
PL/pgSQL Programming
Extensions (PostGIS, hstore)
Real-Time PostgreSQL Projects
1:1 Mentorship & Career Prep

Module 1: PostgreSQL DBA

Chapter 1: Introduction to PostgreSQL

  • Overview of PostgreSQL
  • History and Evolution of PostgreSQL
  • Features, Versions and Benefits of PostgreSQL
  • PostgreSQL Architecture

Chapter 2: Installation

  • Installing PostgreSQL on Windows
  • Installing PostgreSQL on Linux using Yum repository and RPM
  • Installing PostgreSQL on Linux using Source Code
  • Installing PostgreSQL on Linux using Contrib Module

Chapter 3: Configuration File & Directory Layout

  • Data Directory
  • Configuration Files (postgresql.conf, conf, pg_ident.conf)
  • Other Physical Files
  • Database Directory Layout
  • Base Directory

Chapter 4: Database Cluster

  • PostgreSQL Cluster (Initdb, Start/Stop/Restart/Reload)
  • Start and stop using
  • PostgreSQL Cluster Demo on Windows
  • PostgreSQL Cluster Demo on Linux

Chapter 5: Process & Memory Architecture

  • Postmaster Process
  • Utility Processes
  • Memory Segments & Memory Components

Chapter 6: Create Objects (Database/User/Schema) and Privileges

  • Create/Drop Database
  • Create/Drop User
  • Create/Drop Schema and Search Schema Path
  • Grant/Revoke Privileges on Database Objects

Chapter 7: Tools (psql & pgAdmin) and catalog

  • Using psql command line interface (CLI)
  • pgAdmin(GUI) : Practical Use
  • g_catalog : Realtime Usage
  • Information_Schema & Medata Audits

Chapter 8: CRUD Operations

  • CRUD Introduction
  • Create Table, Data Types, Constraints, Functions and Operators
  • Retrieve Data in PostgreSQL
  • Update Records in a Table
  • Delete Records in a Table
  • Truncate

Chapter 9: Tablespaces

  • Tablespace Introduction
  • Default Tablespace (pg_default & pg_global)
  • Local & Global Tablespaces
  • Create/Drop Tablespaces
  • Temporary Tablespace

Chapter 10: Backup and Restore

  • Introduction to PostgreSQL Backups
  • Backup using pg_dump and psql utilities
  • Restore using pg_restore and psql utilities
  • Offline Backups
  • Online Backups
  • pg_basebackup utility

Chapter 11: Advanced Backup & Restore

  • pgBackRest
  • Point-In-Time-Recovery (PITR)

Chapter 12. MVCC (Multi-Version Concurrency Control) in PostgreSQL

  • What is MVCC in PostgreSQL?
  • How does MVCC work in PostgreSQL?
  • Key Data Structures in MVCC
  • Benefits of MVCC in PostgreSQL
  • Transaction ID Wraparound

Chapter 13. Database Maintenance, Vacuum and Analyze

  • Introduction to Maintenance
  • Vacuum
  • Analyze
  • Statistics
  • Clustering
  • Auto-Vacuum

Chapter 14: Joins and Constraints

  • Introduction on Joins and Constraints
  • Join Types (Inner, Equi and Outer)
  • Constraints (Primary Key, Unique, Foreign Key and NOT NULL ..)
  • SERIAL Column
  • ER Diagram

Chapter 15: Indexing and Types

  • Introduction to Indexes
  • Basic Index Types (B-Tree, Hash and Function/Expression)
  • Advanced Index Types (GiST, SP-GiST, GIN and BRIN).

Chapter 16: Performance Tuning – Part 1

  • Database Tuning (Vacuum, Analyze, Partitioning ..)
  • Query Tuning (EXPLAIN, ANALYZE, Indexing, Optimize JOINs, Optimize Subqueries)

Chapter 17: Performance Tuning – Part 2

  • Configuration Tuning

(shared_buffers, effective_cache_size, work_mem, maintenance_work_mem and etc…)

  • Monitoring and Maintenance (pg_stat_statements and pg_stat_user_tables).
  • Hardware Tuning (CPU, Memory, Storage and Network)

Chapter 18: Data Loading

  • Moving, Copying, Export, Import, copy ..
  • pgloader
  • Foreign Data Wrappers (FDW)

Chapter 19: Extensions

  • What are Extensions in PostgreSQL?
  • Types of Extensions in
  • Examples of Extensions in
  • How to Install/Uninstall Extensions in PostgreSQL

Chapter 20: High Availability and Replication

  • High Availability Architecture
  • Master/Primary and Slave/Standby
  • HA step-by-step configuration using Streaming Replication
  • Manual Failover and Switchover
  • promote command

Chapter 21-22: Advanced -1 High Availability Concepts

  • HA step-by-step setup using Streaming Replication
  • HA step-by-step using Logical Replication
  • Automatic Failover & Switchover

Chapter 23-24: Advanced -2 High Availability Tools and Software

  • pgpool: A PostgreSQL-specific connection pooling and replication tool
  • repmgr: A tool for managing PostgreSQL replication clusters
  • Patroni: A PostgreSQL-specific high availability tool that provides automated failover and switchover

Chapter 25-26: PostgreSQL HA and disaster recovery (DR) strategies

  • Introduction to disaster recovery (DR)
  • High Availability Strategies (Master-Slave, Master-Master, Multi-Master)
  • Disaster Recovery Strategies (PITR, Backup and Restore and Replication)
  • Tools and Software required for DR

Chapter 27: Performance Tuning Using Server Parameters and Partitioning.

  • Introduction to Server Parameters
  • Tune Server Parameters
  • Partitioning

Chapter 28: Migration to PostgreSQL.

  • Manual Migration
  • Using pg_dump and pg_restore
  • Using Database Migration Tools
  • Using Third-Party Tools

Chapter 29: upgrade PostgreSQL

  • Upgrade Methods
  • Minor version upgrades
  • Major version upgrades
  • Common Issues and Solutions

Chapter 30: Monitoring and Reports

  • Monitoring using Grafana
  • Monitoring using pg_stat_statments
  • pgBadger

 

 

Module 2: Azure PostgreSQL DBA

Chapter 31: Azure Cloud Introduction and Fundamentals

  • Cloud Fundamentals
  • Cloud Concepts, Benefits
  • IaaS, PaaS, SaaS Cloud Types
  • Azure Cloud Concepts
  • Azure Resources & Usage
  • Azure Services & Purpose
  • Azure Account & Subscription

Chapter 32: Benefits of Running PostgreSQL in Azure

  • Scalability
  • High Availability
  • Security
  • Cost-Effective

Chapter 32: Azure PostgreSQL Options

  • PostgreSQL database on Azure Virtual Machines
  • Fully Managed Azure Database for PostgreSQL
  • Azure Kubernetes Service (AKS)

Chapter 33: Create Objects and CRUD operations in AZURE

  • Create/Drop Databases
  • Create/Drop Users
  • Create/Drop Tables
  • SELECT, INSERT, UPDATE, DELETE and TRUNCATE

Chapter 34: PostgreSQL DB Migrations in AZURE

  • Azure Database Migration Service (DMS)
  • Azure Data Factory (ADF)
  • pg_dump and pg_restore
  • Azure Database for PostgreSQL Migration Tool
  • Third-party tools

Chapter 35: Backup and Automated Backup in AZURE

  1. Backup Options in Azure for PostgreSQL
  2. Automated Backup Options in Azure for PostgreSQL
  3. Configuring Automated Backups in Azure for PostgreSQL
  4. Best Practices for Backing up PostgreSQL Databases in Azure

Chapter 36: Restore a Backup in AZURE

  • Restore Options in Azure for PostgreSQL
  • Restoring a Database using Backup Restore
  • Restoring a Database using pg_restore
  • Restoring a Database using Point-in-Time Restore (PITR)
  • Best Practices for Restoring PostgreSQL Databases in Azure

Chapter 37: Performance Tuning of PostgreSQL database in AZURE

  • Azure-Specific Performance Tuning
  • PostgreSQL Configuration Tuning
  • Query Optimization
  • Monitoring and Maintenance

Chapter 38: PostgreSQL HA in AZURE

  • HA Architectures
  • Azure Native HA Options
  • Third-Party HA Options
  • Best Practices

Chapter 39: PostgreSQL disaster recovery (DR) in Azure

  • Disaster Recovery Options
  • Disaster Recovery Strategies
  • Azure Services for Disaster Recovery
  • Best Practices

Chapter 40: Realtime Project

  • Project Requirements
  • Project Solution
  • Project FAQs
  • Resume Guidance
  • More. !

SQL SCHOOL

24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.

Who is SQL School? How far you have been in the training services ?

SQL School is a registered training institute, established in February 2008 at Hyderabad, India. We offer Real-time trainings and projects including Job Support exclusively on Microsoft SQL ServerT-SQLSQL Server DBA and MSBI (SSISSSASSSRS) Courses. All our training services are completely practical and real-time. CREDITS of SQL School Training Center

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  • Real-time projects in
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Why Choose SQL School

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