Postgresql Plus Advanced Server Course Overview

Postgresql Plus Advanced Server Course Overview

The PostgreSQL Plus Advanced Server course is an in-depth training program designed to equip learners with the knowledge and skills necessary to manage and optimize PostgreSQL Plus Advanced Server, an enhanced version of the open-source PostgreSQL database. This course covers a comprehensive range of topics, from installation and configuration to Performance tuning, Replication, and Failover strategies.

Learners will explore the history of PostgreSQL, its major features, and understand the architecture that allows PostgreSQL to handle complex queries and large datasets efficiently. The course also delves into the practical aspects of database management, including Backup and recovery techniques, Routine maintenance, and Monitoring database performance.

By understanding the system architecture, learning SQL commands, and practicing security best practices, participants will be able to ensure data integrity and security. Additionally, the course includes advanced topics such as Connection pooling with pgpool-II, Table partitioning, and the Use of EDB tools for Oracle to PostgreSQL migration. Through a mix of theoretical knowledge and practical exercises, learners will gain the capability to administer PostgreSQL Plus Advanced Server effectively and enhance their career prospects in the field of database administration.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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Course Prerequisites

To ensure a successful learning experience in the PostgreSQL Plus Advanced Server course provided by Koenig Solutions, students should have the following minimum prerequisites:


  • Basic knowledge of database concepts: Understanding of how databases work, including tables, queries, and indexes.
  • Familiarity with SQL: Ability to write and understand basic SQL statements is essential for interacting with the database during the course.
  • Fundamental understanding of operating systems: Comfortable with operating system basics, particularly Linux or UNIX-like systems, as PostgreSQL is commonly run on these platforms.
  • Basic computer literacy: Proficiency in using computers, managing files and directories, and editing text files.
  • Command-line interface (CLI) experience: Comfort with using the command line for executing commands and navigating file systems.
  • Understanding of networking concepts: Basic knowledge of IP networking, including client-server models and network configuration, to understand database connectivity.
  • Some programming experience (optional): While not strictly necessary, familiarity with a programming language could be helpful for understanding APIs and writing database-driven applications.

These prerequisites are designed to ensure that participants are prepared to engage with the course material effectively. However, individuals with a strong desire to learn and the ability to quickly acquire new technical skills may also find success in this course. Koenig Solutions welcomes all learners who are committed to expanding their knowledge in PostgreSQL Plus Advanced Server.


Target Audience for Postgresql Plus Advanced Server

The PostgreSQL Plus Advanced Server course is ideal for IT professionals seeking in-depth knowledge and skills in PostgreSQL database management and optimization.


  • Database Administrators (DBAs)
  • System Administrators managing database systems
  • Data Architects designing and implementing data storage solutions
  • Software Developers and Engineers who work with PostgreSQL databases
  • IT Managers overseeing database or development teams
  • Data Analysts requiring advanced understanding of database systems
  • DevOps Professionals involved in continuous integration and deployment processes that include database management
  • Technical Support Specialists who troubleshoot PostgreSQL database issues
  • Business Intelligence (BI) Professionals who create and manage data warehouses
  • Data Scientists who need to understand database architecture for large datasets
  • IT Consultants providing services around database setup, tuning, and optimization
  • Database Migration Specialists focusing on migrating data to PostgreSQL
  • IT Educators and Trainers teaching advanced database management concepts
  • Performance Engineers testing and optimizing database performance
  • Security Specialists concerned with database security and compliance


Learning Objectives - What you will Learn in this Postgresql Plus Advanced Server?

  1. Introduction: The Postgres Plus Advanced Server course equips students with comprehensive knowledge and skills for managing and optimizing PostgreSQL databases, focusing on advanced features and performance.

  2. Learning Objectives and Outcomes:

  • Understand the history, major features, and new enhancements of PostgreSQL, including MVCC and WAL.
  • Gain a deep understanding of PostgreSQL's system architecture and how various components interact for efficient database management.
  • Learn to install PostgreSQL and manage database clusters, with a focus on setting environment variables and server operations.
  • Configure PostgreSQL for optimal performance, security, and manage access through sophisticated parameter settings and authentication methods.
  • Master database creation, management, and schema design, and understand the role of users and permissions in PostgreSQL.
  • Acquire proficiency in using PSQL and pgAdmin III for database operations, querying, and server management.
  • Implement robust security measures, manage user authentication, and set authorization levels for enhanced database protection.
  • Develop SQL expertise, including data types, table operations, queries, and index management.
  • Perform database backup and recovery, including point-in-time recovery, to ensure data integrity and minimize downtime.
  • Optimize database performance through server tuning, query optimization, and understanding indexing strategies.
  • Set up and manage replication and failover to ensure high availability and data redundancy.
  • Learn table partitioning techniques to manage large datasets and improve query performance.
  • Utilize connection pooling with Pgpool-II to efficiently manage database connections and resources.
  • Monitor database performance and health using PostgreSQL's built-in statistics and logging tools.
  • Explore EDB tools for Oracle to PostgreSQL migration, replication, and backup and recovery solutions.

Technical Topic Explanation

Performance tuning

Performance tuning refers to the process of enhancing the speed and efficiency of a computer system or application. In the context of databases like EDB Postgres Advanced Server, performance tuning involves optimizing the setup so that the server operates more quickly and effectively. This might include adjusting configuration settings, streamlining SQL queries, or modifying how data is stored and accessed. The goal is to reduce response times and increase the throughput of transactions, ensuring that the database performs optimally under varying load conditions.

Replication

Replication in computing involves copying and maintaining database elements in multiple locations for the purpose of redundancy and increased accessibility. This process ensures that in the event of a system failure or data loss, the replicated copies serve as a backup to maintain data integrity and availability. In the context of databases like EDB Postgres Advanced Server, replication allows businesses to distribute data across different servers or locations, improving performance and providing seamless data recovery options, thus enhancing database reliability and accessibility. This capability is crucial for businesses requiring high availability and robust data management solutions.

Failover strategies

Failover strategies are methods used to switch automatically to a reliable backup system when the primary system fails. This ensures that services remain available without interruption. In database management, like with EDB Postgres Advanced Server, failover mechanisms are crucial for maintaining access to data during server faults or maintenance periods. These strategies involve setting up standby servers that take over operations seamlessly when the primary server goes down, minimizing downtime and preserving data integrity. Implementing robust failover plans is essential for businesses to ensure continuous operation and service reliability.

Backup and recovery techniques

Backup and recovery techniques are essential processes for preserving data by copying it from primary storage to a secondary location. This protects the information from data loss events like hardware failures, software malfunctions, or cyber-attacks. With tools like EDB Postgres Advanced Server, backup can be automated, improving reliability and reducing human error. Recovery involves restoring data from a backup storage system to primary systems or to a disaster recovery site to maintain business continuity after a data loss event. Mastery of these techniques ensures that critical data can be recovered quickly and accurately, maintaining business operations smoothly.

Routine maintenance

Routine maintenance in technology refers to the scheduled checks and repairs performed on hardware and software systems to ensure they operate efficiently and reliably. This process prevents system failures by addressing potential issues before they become serious problems. To extend, in databases like EDB Postgres Advanced Server, routine maintenance includes tasks such as updating software, cleaning up database logs, optimizing database performance, and checking system security setups. Regular maintenance is crucial for maintaining the integrity and performance of advanced server environments, subsequently reducing downtime and improving user experience.

Monitoring database performance

Monitoring database performance involves continuously observing a database system to ensure it operates efficiently. This process helps identify bottlenecks or slowdowns in database operations, ensuring queries run effectively and data is accessed promptly. Techniques include analyzing query response times, resource usage, and transaction rates. Tools like EDB Postgres Advanced Server offer integrated monitoring solutions to assess system health, optimize database workloads, and enhance overall performance. Proper monitoring supports better decision-making around database management, scaling, and maintenance, leading to improved application performance and user satisfaction.

SQL commands

SQL commands are instructions used to interact with a database to perform tasks like retrieving, inserting, updating, or deleting data. Common SQL commands include SELECT, to fetch data; INSERT, to add new data; UPDATE, to modify existing data; and DELETE, to remove data. These commands help manage data in systems like EDB Postgres Advanced Server, a robust database management system that enhances PostgreSQL with enterprise capabilities. By mastering SQL commands, professionals can efficiently manage and manipulate data within databases, crucial for data-driven decision making and operations in various business applications.

Connection pooling with pgpool-II

Connection pooling with pgpool-II is a method that manages a pool of database connections for PostgreSQL databases, optimizing the sharing of server connections among multiple clients. This reduces overhead by reusing connections, rather than creating and closing them for each user interaction, thus enhancing performance and scalability. Pgpool-II also enables fault tolerance and load balancing, distributing database queries efficiently across multiple servers to ensure system resilience and reliability. This technique is particularly useful in environments with high concurrent database access, making it a valuable tool for maintaining robust and efficient database interactions.

Table partitioning

Table partitioning is a technique used in databases to divide large tables into smaller, more manageable pieces called partitions. This is done to improve performance and make data management easier. Each partition can be processed independently, which helps in faster data retrieval and efficient maintenance. In the context of PostgreSQL, including solutions such as EDB Postgres Advanced Server, partitioning helps optimize query performance and enhances scalability, enabling more efficient data operations especially in large-scale database environments. This method is ideal for handling extensive datasets by simplifying maintenance and improving query response times.

Use of EDB tools for Oracle to PostgreSQL migration

The use of EDB tools for Oracle to PostgreSQL migration involves utilizing specialized software provided by EDB to efficiently transfer databases from Oracle systems to PostgreSQL, including the EDB Postgres Advanced Server. This tool simplifies the conversion process by addressing compatibility issues and automating many of the required tasks, such as schema and data migration, which ensures a smooth transition while minimizing downtime. Key benefits include cost efficiency, improved performance, and enhanced security features of PostgreSQL, making it a preferable choice for enterprises looking to leverage open-source database solutions.

Target Audience for Postgresql Plus Advanced Server

The PostgreSQL Plus Advanced Server course is ideal for IT professionals seeking in-depth knowledge and skills in PostgreSQL database management and optimization.


  • Database Administrators (DBAs)
  • System Administrators managing database systems
  • Data Architects designing and implementing data storage solutions
  • Software Developers and Engineers who work with PostgreSQL databases
  • IT Managers overseeing database or development teams
  • Data Analysts requiring advanced understanding of database systems
  • DevOps Professionals involved in continuous integration and deployment processes that include database management
  • Technical Support Specialists who troubleshoot PostgreSQL database issues
  • Business Intelligence (BI) Professionals who create and manage data warehouses
  • Data Scientists who need to understand database architecture for large datasets
  • IT Consultants providing services around database setup, tuning, and optimization
  • Database Migration Specialists focusing on migrating data to PostgreSQL
  • IT Educators and Trainers teaching advanced database management concepts
  • Performance Engineers testing and optimizing database performance
  • Security Specialists concerned with database security and compliance


Learning Objectives - What you will Learn in this Postgresql Plus Advanced Server?

  1. Introduction: The Postgres Plus Advanced Server course equips students with comprehensive knowledge and skills for managing and optimizing PostgreSQL databases, focusing on advanced features and performance.

  2. Learning Objectives and Outcomes:

  • Understand the history, major features, and new enhancements of PostgreSQL, including MVCC and WAL.
  • Gain a deep understanding of PostgreSQL's system architecture and how various components interact for efficient database management.
  • Learn to install PostgreSQL and manage database clusters, with a focus on setting environment variables and server operations.
  • Configure PostgreSQL for optimal performance, security, and manage access through sophisticated parameter settings and authentication methods.
  • Master database creation, management, and schema design, and understand the role of users and permissions in PostgreSQL.
  • Acquire proficiency in using PSQL and pgAdmin III for database operations, querying, and server management.
  • Implement robust security measures, manage user authentication, and set authorization levels for enhanced database protection.
  • Develop SQL expertise, including data types, table operations, queries, and index management.
  • Perform database backup and recovery, including point-in-time recovery, to ensure data integrity and minimize downtime.
  • Optimize database performance through server tuning, query optimization, and understanding indexing strategies.
  • Set up and manage replication and failover to ensure high availability and data redundancy.
  • Learn table partitioning techniques to manage large datasets and improve query performance.
  • Utilize connection pooling with Pgpool-II to efficiently manage database connections and resources.
  • Monitor database performance and health using PostgreSQL's built-in statistics and logging tools.
  • Explore EDB tools for Oracle to PostgreSQL migration, replication, and backup and recovery solutions.