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Course Highlights

PostgreSQL DBA Training includes basic to advanced concepts on Real-time Administration Activities including Query Optimizations, Routine Maintenance, Management Operations including Backups, Restores, Security, Encryptions, High Availability, Disaster Recovery, Troubleshooting, Migrations, Upgrades and more….

Training Highlights:

  • In-depth Tuning
  • Migration Issues
  • In-Memory Data
  • DB Documenation
  • Schema Migrations
  • Stretch Database
  • Memory Tables
  • Temporal Tables
  • App Connections
  • Excel Pivots
  • CTEs and TVPs
  • Excel Imports
  • Power Shell
  • Azure CLI

Course Content

PostgreSQL DBA Training
Course Contents:

Part 1: PostgreSQL DBA Training

Module 1

Chapter 1: Introduction & Installation

  • Database Basics and Database Types
  • OLTP, DWH, OLAP and HTAP
  • RDBMS : Need and Importance
  • PostgreSQL : Advantages, Usage
  • PostgreSQL as a Open Source
  • PostgreSQL : History and Versions
  • PostgreSQL : Real-time Usage
  • PostgreSQL : Windows, LINUX OS
  • PostgreSQL Installation in Windows
  • bin, data and PATH Concepts
  • PpgAdmin4, Command Line Tools
  • Post Installation, Environment Variables
  • Path, bin and PGDATA Variables
  • Installation Varification Options

Chapter 2: SQL Basics, Linux Installation

  • Using PSShell and pgAdmin Tools
  • Creating and Connecting Databases
  • DDL, DML and SELECT Statements
  • Creating Tables and Data Inserts
  • IN, NOT IN, AND, BETWEEN Operators
  • DISTINCT, ORDER BY, LIKE, NOT LIKE
  • Order By, Basic Level Sub Queries
  • LIMIT, OFFSET and Column Aliases
  • UPDATE, DELETE & SELECT INTO
  • TRUNCATE, ALTER and DROP
  • PostgreSQL Installation in LINUX
  • PostgreSQL in RHEL & Ubuntu
  • sudo & yum For RPM Packages
  • apt install, apt update, systemctl

Chapter 3: PSQL Tool & Transactions

  • Using PSQL Shell Command Line
  • Creating Databases, Tables in PSQL
  • Connecting to Databases, Table List
  • Creating Tables with Schemas
  • Working with Default “Public” Schema
  • Aliasing : Table Level, Column Level
  • Table Imports and COPY Statement
  • Transactions : ACID Properties
  • Transaction Types and Options
  • BEGIN TRANSACTION and BEGIN
  • COMMIT and ROLLBACK Concepts
  • COMMIT WORK Statement
  • Verifying Transactions in Database
  • Advantages of Commit & Rollback

Chapter 4: Constraints, Keys

  • Constraints and Keys in PostGreSQL
  • Null and Not Null Constraints
  • Primary Key and Real-time Usage
  • Unique Key and Real-time Usage
  • Foreign Key Constraint, Relations
  • Entity Relationship (ER) Models
  • Check Constraint and Conditions
  • Identity Column and Seed, Increment
  • GENERATED ALWAYS AS IDENTITY
  • GENERATED BY DEFAULT AS IDENTITY
  • Custom Start and Increment Values
  • Composite Keys and Self References
  • Adding Keys to Existing Tables
  • SERIAL Data Type and Sequence

Chapter 5: Join Queries in PostgreSQL

  • Joins : Purpose and Types of Joins
  • INNER Join and Matching Data
  • OUTER Join Types in PostgreSQL
  • Left Outer Join and Real-time Usage
  • Right Outer Join and Real-time Usage
  • Full Outer Join and Real-time Usage
  • Cross Join and Comma (,) in Tables
  • Natural Joins with Common Columns
  • Natural Inner / Left / Right Outer Joins
  • USING Keyword for Table Joins
  • Self Joins and Table Aliasing in Joins
  • Hierarchial Data Reporting in Joins

Chapter 6: Functions and Triggers

  • PostgreSQL PL/pgSQL Programming
  • Stored Procedures Creation, Use
  • Functions and Types in PostgreSQL
  • Overloading Concepts in Functions
  • Dynamic Data Retreival in PSQL
  • Internal Functions in PostgreSQL
  • Triggers and Callback Functions
  • Row Level, Statement Level Triggers
  • BEFORE and AFTER Triggers in PSQL
  • NEW and OLD System Tables
  • PLPGSQL and Trigger Functions
  • Triggers Rename and Retreival

Module 2

Chapter 7: Server Architecture

  • PostgreSQL Server Architecture
  • Server Process and Client Process
  • Postgres Program : Internal Process
  • Postmaster Process and forks
  • Background Process, Connections
  • Utility Processes: Bgwriter, WAL
  • Checkpointer and StatsCollector
  • Log Writer, Autovacuum Utilities
  • Memory Segments and Usage
  • Shared Buffer and WAL Buffer
  • Dirty Data and background writer
  • Background Process, Backend Process

Chapter 8: Database Architecture

  • Installation Directory Layout
  • bin, data, doc, include, installer
  • scripts, share, pgadmin directories
  • Database Directory Layout
  • Base, Log, commit_ts, mem
  • notify, pg_ident.conf, pg_xact
  • Base Directory Layout, OID
  • Default Databases in Postgres
  • postgres, template0, template1
  • Tablespaces, Real-time Advantages
  • pg_default, pg_global tablespaces
  • Create, Modify, Audit Tablespaces

Chapter 9: Clusters, Inheritance, COPY

  • PostgreSQL Clusters and Real-time Use
  • Data Directory and Data Area
  • initdb command Usage, Executions
  • Default Databases and their Usage
  • Start \ Stop Cluster and Operations
  • postgresql.conf , pg_ctl status
  • Shutdown: Fast, Smart, Linux
  • Reload and Restart Clusters
  • pg_controldata, Logical Structure
  • Table Inheritance : Auto DML
  • Creating Master, Child Tables
  • Create Table as Table Option
  • Create Table as Table with Nodata

Chapter 10: Security Management – 1

  • PostgreSQL Security Management
  • Users; Roles and Logins For Security
  • Server Level, Database Level Security
  • Schema Level, Table, Object Security
  • Column Level, Row Level Security
  • PSQL Client Tool and its Usage
  • Postgres Super User, Connection Test
  • Public Schema and REVOKE Options
  • Revoke and Revoke All from Public
  • Role Management: Users, Logins
  • search_path, sequence, defaults
  • Creating Logins without Passwords
  • pgAdmin Tool, Alter Role; ReadOnly

Chapter 11: Security Management – 2

  • Column Level Security Implementation
  • Column Security with User Views
  • Column Security with Permissions
  • Column Encryptions, pgp_sym Functions
  • pgp_sym_encrypt, pgp_sym_decrypt
  • Row Level Security (RLS) & Policies
  • ENABLE and DISABLE RLS Options
  • Alter User, bypassrls & All PUBLIC
  • pg_hba.conf: Usage, Record Format
  • trust, password, md5, ident, peer
  • SHOW Command, Service Restarts
  • LINUX Users & Management Options
  • User DBs, Linux User Connections

Chapter 12: Backup & Restore – 1

  • Backups: Types, Levels in Postgres
  • Logical and Physical Backups
  • Backup Tools: pg_dump, pg_dumpall
  • Online Backups, Offline Backups
  • Logical Backups : Single Table
  • Multiple Tables, Single Database
  • Logical Backup Options, Usage
  • Backups using pgAdmin Tool
  • TAR, TXT, SQL Formats, Verification
  • pg_restore and psql app Usage
  • Big Database Backups and Restores
  • Partial Backups and Restores
  • Restore DB with Auto Create

Module 3

Chapter 13: Backup & Restore – 2

  • Physical Backups in Real-time, Usage
  • Offline Backups with Database Clusters
  • tar files: Windows & Linux Environments
  • Online Backups and Continous Archival
  • Auto Archival Process in LINUX OS
  • wal_level and archive_mode Options
  • archive_command with File Formats
  • WAL Archival Process with LINUX OS
  • Point In Time Recovery (PITR) in Ubuntu
  • pg_switch_all, pg_basebackup Utilities
  • Physical Backups, Continous Archival
  • sudo Users for WAL Archival, Permissions
  • nano and vi for Config Edits, Precautions

Chapter 14: Performance Tuning – 1

  • Indexes : Purpose and Query Executions
  • Single Column Index and Real-time Use
  • Multi Column Index and Real-time Use
  • Unique Indexes and Data Retreival
  • Implicit Indexes and Index Expressions
  • Index-Only Scans and Covering Indexes
  • Index Types: btree, Hash, GiST, SP-Gist
  • GIN and BRIN: Real-time Usage
  • Index Recommendations in Real-time
  • Views : Creation and Usage in PSQL
  • DML Operation on Tables with Views
  • Temporary View and Temporary Tables
  • Materliazed Views and Real-time Use

Chapter 15: Performance Tuning – 2

  • Table Partitions & Performance Benefits
  • Table Inheritance For Table Partitioning
  • Data Routing Functions and Triggers
  • Full Text Search (FTS), Keyword Indexes
  • Document: TSVector, TSQuery Usage
  • to_tsvector and to_tsquery Options
  • Single Term Search, Multi Term Search
  • Word Statistics, pg_available_extensions
  • CTE: Common Table Expressions, Usage
  • Real-time Scenarios for CTE Usage
  • Recursive CTEs, Recursive Views
  • ReIndexing Strategies: Table Level
  • Schema Level, DB Level ReIndexing

Chapter 16: Performance Tuning – 3

  • Table Clusters in Postgres, Usage
  • Index, Table & Database Level Clusters
  • Performance Advantages with Clusters
  • Maintenance Tasks : Planner Statistics
  • Updating Statistics, Analyse Query Plans
  • Vacuum Options, Analyse Command
  • AutoVacuum Program, Query Costs
  • Page Count, Row Count and Seq Cost
  • Vacuum and Vacuum Full Programs
  • Visibility Map File (VSM) and its Use
  • Free Space Map File (FSM) and it Use
  • TOAST and AccessExclusiveLock
  • VacuumDB Command : Clean, Analyze

Chapter 17: Lock, Database Migrations

  • Transactions and Lock Management
  • Table Level Locks, Row Level Locks
  • Query Blocking and Deadlocks
  • Advisory Locks and Metadata Locks
  • Lock Queue, Lock Management Options
  • Page Locks, Shared and Exclusive Locks
  • TXD_CURRENT and pg_stat_activity
  • pg_cancel_backend,pg_terminate_backend
  • PG_LOCKS and TIMEOUT Options
  • Database Migrations with PostgreSQL
  • SQL Server Migrations to PostgreSQL
  • Database Migration Tools, Schema Check
  • Data Type Mapping, Pipe/TCP Connections

Chapter 18: HA-DR with Postgres

  • High Availability and Disaster Recovery
  • PostgreSQL Replication, Advantages
  • wal sender, wal receiver, startup
  • pg_hba.conf Entires for repl host
  • pg_basebackup & Fault Tolerance
  • Single and Multi Master Replication
  • recovery.conf file & configurations
  • primary_conninfo & standby_mode
  • Log Shipping Options with Replication
  • Replication Setup Validations
  • grep sender, grep receiver, grep startup
  • pg_stat_replication, PID Audits
  • Real-time Considerations with HADR

Part 2: Azure Database For PostgreSQL

Chapter 19: Azure Database For PostgreSQL

  • Azure Databases for PostgreSQL
  • Relational Database as a Service
  • PostgreSQL Community Edition
  • Advantages, Implementation Options
  • Deployment Models in Azure
  • Single Server, Flexible Server
  • HyperScale (Citus) Options
  • Azure (Cloud) Operations
  • PaaS, SaaS and IaaS Options
  • Azure Cloud Configurations
  • Azure Resources and Groups
  • Need for DBaaS in Azure
  • Database As a Service Advantages

Chapter 20: Azure Fundamentals

  • Azure Resources and Services
  • Azure Resources and Services
  • Azure Storage Account & Use
  • Azure Blob Storage Containers
  • LRS, GRS and RA-GRS Options
  • Hot and Cold Data Storage
  • Creating Azure File Shares
  • Azure Active Directory (AAD)
  • AAD Services and Options
  • Creating Users and Groups
  • Ownerships and Group Permissions
  • App Registrations – Service Principals
  • Service Principal Tokens and IAM

Chapter 21: PostgreSQL Server, DB in Azure

  • Relational Database as a Service
  • Creating Resource Groups in Azure
  • Creating PostgreSQL Server in Azure
  • Flexible Server Deployment Options
  • Server Name, Location, Versions
  • Compute and Storage Options
  • Administrator Account & Privileges
  • Connection Information in Azure
  • Firewall Configuration Options
  • psql Connections to Azure PostgreSQL
  • Database and Table Creations
  • Test Data Insertions and Queries
  • OnPremise Versus Azure Differences

Chapter 22: PostgreSQL DB Migrations

  • Database Assessment Options
  • Migrating OnPremise DB to Azure
  • Migrating PostgreSQL to Azure SQL
  • Using DMS [Data Movement Service]
  • Working with Hyperscale Server
  • Microsoft Virtual Networks & VPN
  • Network Security Group (NSG) for DMS
  • Vcore Purchasing with PostgreSQL
  • Server Level and DB Level Firewalls
  • Migrating Schema using Bash Commands
  • Dropping the Foreign Keys for Migration
  • Trigger Management Options for DMA
  • DMS Instance Provision with CLI

Chapter 23: DB Backups and Restores

  • Automated Backups in Azure
  • Manual Backup Configurations
  • Backup History and Maintenance
  • Backup Types and Retention
  • Backup History Purge in Azure
  • Backup Audits and Monitoring
  • Single / Multiple DB Backups
  • Restore Database (PITR) Options
  • Manual Restores with PostgreSQL
  • Long Term Retention Options
  • Recovery of Lost Databases
  • Re-Restoring DBs in Azure

Chapter 24: Monitoring and Tuning

  • Enabling Data Collection in Azure
  • PostgreSQL Server Parameters
  • pg_qs.query_capture_mode
  • pgms_wait_sampling.query_capture_mode
  • Query Performance Insights
  • Query Metrics and Visualizations
  • Long Running Queries, Troubleshooting
  • Wait Statistics and Server Dashboards
  • Performance Recommendations
  • Query Execution Plans & EXPLAIN
  • Index Recommendations and Stats
  • Differences with On-Premise

Chapter 25: Security Management

  • Using Identity & Access Management
  • PostgreSQL Server Level Security
  • PostgreSQL Database Level Security
  • PostgreSQL Object Level Security
  • PostgreSQL Data Level Security
  • Vulnerability Assessment (VA)
  • Transparent Data Encryption (TDE)
  • SSL Configuration and Protection
  • Firewall Security and Network
  • Security Baselines and Controls
  • Security Strategy in PostgreSQL
  • Differences with On-Premise

Chapter 26: HA & DR Concepts

  • High Availability Concepts (HA)
  • Disaster Recovery Concepts (DR)
  • HA DR during High Usage Periods
  • HA DR during Planned Maintenance
  • Automated and Manual Failover
  • Force Failover & Connection Switch
  • Configure Hyperscale Citus For HA DR
  • Enabling High Availability with Worker
  • Coordinator Status and Availability
  • Data Distribution Options
  • HA DR Strategy in PostgreSQL
  • Differences with On-Premises

Chapter 27: Planned Maintenance

  • Automated Patching in Azure
  • Service Features, S/W Updates
  • Planned Maintenance: Duration
  • Planned Maintenance: Impact
  • Alerts and Notifications in Azure
  • Event Types and Action Groups
  • Alert Rules and Pricing Options
  • Cancel / Postpone Maintenance
  • Retry Logic with Planned Maintenance
  • Troubleshoot Connection Issues
  • Transient Errors and Solutions
  • Persistent Errors and Solutions
  • Real-time Recommendations

PostgreSQL DBA Training Plans

Plan A

PostgreSQL
DBA

Plan B

PostgreSQL
with Azure
Course CurriculumChapters 1 to 18Chapters 1 to 27
Duration5 Weeks7 Weeks
PostgreSQL: Archtiecture, Configurations
PostgreSQL: SQL Queries and Sub Queries
PostgreSQL: Constraints, Keys, Joins & Views
PostgreSQL: Stored Procedures and Functions
PostgreSQL DBA: Lock Management, Tuning
PostgreSQL DBA: Backups and Restores
PostgreSQL DBA: HA DR with Replication
PostgreSQL DBA: HA DR with Log Shipping
PostgreSQL DBA: Security Management
PostgreSQL DBA: Service Packs, Maintenance
PostgreSQL DBA: Common Issues, Solutions
PostgreSQL in Azure: Configurations, Migrations
PostgreSQL in Azure: Server Modes
PostgreSQL in Azure:Hybrid Cloud
PostgreSQL in Azure: Maintenance and Tuning
PostgreSQL in Azure: Server Failover
PostgreSQL in Azure: Server Maintenance
PostgreSQL in Azure: Security Management
Total Course Fee ( Payable in Installments)*INR 15000USD 190*INR 20000USD 250*

PostgreSQL DBA Training

S NoTime (IST, Mon - Fri)Start DateWRegister
18:15 AM - 9:15 AMNov 27thRegister
27 PM - 8 PMDec 4thRegister

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Course includes ONE Real-time Project.

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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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