Database Training in Maia

Oracle Linux 9 provides robust tools and features for constructing secure, scalable, and highly available environments. This advanced-level course centres on enterprise system design, security hardening, networked services, kernel tuning, and automation via Ansible.

This instructor-led, live training (available online or onsite) is designed for advanced Linux professionals seeking to deepen their expertise in deploying and maintaining mission-critical Oracle Linux 9 infrastructure.

By the end of this training, participants will be able to:

• Deploy and manage high-availability services using clustering tools.
• Configure secure network services and enforce system-wide hardening.
• Automate infrastructure using Ansible playbooks.
• Tune system performance for specific workloads and services.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level database administrators who wish to manage, optimize, and secure Data Guard environments for robust disaster recovery and high availability.

By the end of this training, participants will be able to:

• Understand the architecture and benefits of Oracle Data Guard for disaster recovery and high availability.
• Gain hands-on experience in configuring and managing physical and logical standby databases, including Data Guard broker.
• Develop practical skills in monitoring, troubleshooting, and optimizing Data Guard environments for optimal performance.
• Learn advanced features such as Active Data Guard, Data Guard with RAC, and securing Data Guard communications.
• Apply best practices for disaster recovery planning, ensuring data consistency, and automating Data Guard operations.

This instructor-led, live training in Maia (online or on-site) is designed for intermediate-level database administrators looking to manage and optimise complex, high-availability Oracle database environments.

Upon completion of this training, participants will be able to:

• Gain a thorough understanding of Oracle RAC architecture and Grid Infrastructure, covering installation, configuration, and management.
• Develop practical skills in managing Automatic Storage Management (ASM), including disk group management, instance tuning, and backup/recovery procedures.
• Learn advanced RAC performance tuning techniques, disaster recovery configurations, and best practices for achieving high availability.
• Acquire troubleshooting and diagnostic skills to resolve issues within RAC and Grid Infrastructure environments.
• Understand the process of patching and upgrading Oracle RAC and Grid Infrastructure while minimising downtime and maintaining system stability.

This instructor-led, live training in Maia (online or onsite) is designed for beginner-level database administrators who wish to manage backup and recovery tasks in Oracle Database 19c.

Upon completion of this training, participants will be able to:

• Grasp the fundamental concepts of backup and recovery in Oracle Database 19c, including its architecture and various failure modes.
• Acquire practical experience in configuring backup and recovery settings, such as the RMAN environment and the fast recovery area.
• Develop hands-on skills in executing diverse backup and recovery operations, including full, incremental, and point-in-time recovery.
• Learn to leverage Oracle's Flashback technology for efficient database recovery and to manage disaster recovery scenarios.
• Implement best practices for backup, recovery, and disaster recovery to ensure data availability and reduce downtime in Oracle Database 19c.

This instructor-led, live training in Maia (online or on-site) is aimed at intermediate-level database administrators who wish to effectively manage and optimise a multitenant environment.

By the end of this training, participants will be able to:

• Understand the key components and benefits of Oracle Database 19c's multitenant architecture, including CDBs and PDBs.
• Gain practical skills in installing, configuring, and managing container databases (CDBs) and pluggable databases (PDBs).
• Develop proficiency in implementing security measures, backup and recovery strategies, and performance tuning in a multitenant environment.
• Learn how to manage high availability and disaster recovery in a multitenant architecture, including configuring Data Guard and Oracle RAC.
• Acquire troubleshooting techniques and best practices for maintaining a secure, efficient, and reliable multitenant database environment.

Oracle Database 19c serves as a multi-model database, offering comprehensive support for both relational and non-relational data formats.

This instructor-led live training, available either online or on-site, is designed for system and database administrators with intermediate proficiency. The course equips participants with the skills to administer, monitor, secure, back up, and recover Oracle Database 19c within Standard Edition 2 environments, while also guiding them in planning a structured migration path from version 11g to 19c.

Upon completion of this training, participants will be capable of:

• Setting up the necessary environment and executing clean installations and configurations of Oracle Database 19c SE2.
• Describing key Oracle infrastructure components, such as the SGA, PGA, Shared Pool, Database Buffer Cache, and Redo mechanisms.
• Utilising administration tools like Enterprise Manager (EM Express) and SQL Developer for routine operational tasks.
• Applying storage management best practices for tablespaces, datafiles, and segment space allocation.
• Enhancing database security and maintaining hardened configurations through user management, roles, privileges, profiles, and auditing.
• Designing and implementing RMAN-based backup and recovery strategies that align with defined RTO and RPO objectives.
• Monitoring system performance and troubleshooting issues using dynamic performance views, SQL tracing, and execution plans.
• Planning and executing the transition from version 11g to 19c using approved upgrade paths and tools.

Course Format

• Interactive lectures and group discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• For those interested in a bespoke training solution for this course, please contact us to discuss arrangements.

This instructor-led, live training in Maia (online or onsite) is aimed at advanced-level DevOps engineers and SREs who wish to manage and scale Prometheus and Grafana for large environments effectively.

By the end of this training, participants will be able to:

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimise Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualisations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in Maia (online or on-site) is targeted at intermediate-level billing and revenue managers who aim to effectively manage and optimize their billing and revenue operations using Oracle's powerful tools and features.

By the conclusion of this training, participants will be able to:

• Understand the fundamental principles of Oracle Communications Billing and Revenue Management (BRM).
• Learn how to configure and manage billing processes.
• Gain proficiency in using Oracle BRM for revenue management.
• Explore advanced features for optimizing billing and revenue operations.
• Develop skills in reporting and analytics for billing and revenue management.

This instructor-led, live training in Maia (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

By the end of this training, participants will be able to:

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualise cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

Greenplum is an open-source massively parallel data platform built on PostgreSQL, designed for advanced analytics and large-scale data warehousing.

This instructor-led live training (available online or onsite) is designed for intermediate-level administrators who want to effectively install, configure, and manage Greenplum environments, including handling system updates and libraries.

Upon completion of this training, participants will be able to:

• Install and configure a production-ready Greenplum cluster.
• Manage system updates and safely apply patches.
• Handle Greenplum library management for analytics and extensions.
• Troubleshoot and monitor Greenplum systems.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Greenplum in a controlled lab environment.
• Guided exercises focused on cluster setup, upgrade workflows, and system extensions.

Course Customization Options

• To request a customized training for this course based on your environment or data platform, please contact us to arrange.

A database constitutes a structured system designed for the efficient storage, management, and retrieval of data. This course introduces participants to the foundational principles of database systems, placing particular emphasis on relational database models, data normalization techniques, and SQL-based querying methods.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level IT professionals seeking to grasp database management concepts, with a specific focus on relational database models, while acquiring practical skills in database operations.

Upon completion of this training, participants will be capable of:

• Comprehending database concepts and relational database models.
• Designing simple data models and understanding normalization principles.
• Utilizing fundamental SQL queries to retrieve, insert, and update data.
• Grasping key concepts related to database administration and security.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the purpose and importance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

Oracle Cloud Infrastructure (OCI) offers a comprehensive suite of cloud services, empowering organisations to build, deploy, and secure modern applications effectively.

This instructor-led training session, available either online or onsite, is tailored for intermediate-level cloud professionals keen on designing, implementing, and managing secure infrastructures within the Oracle Cloud Infrastructure (OCI) ecosystem.

Upon completion of this training, participants will be equipped to:

• Comprehend the security architecture and key components of Oracle Cloud Infrastructure.
• Effectively implement Identity and Access Management (IAM) policies and controls.
• Apply best practices for encryption, networking, and data protection within OCI.
• Monitor, audit, and ensure compliance across OCI environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs and real-world security exercises.
• Practical implementation in a live OCI environment.

Course Customization Options

• To arrange a bespoke training for this course, please contact us.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level to advanced-level database administrators, network engineers, and IT professionals who wish to optimize database performance, scalability, and reliability using Spine-Leaf architecture with VXLAN.

By the end of this training, participants will be able to:

• Grasp the Spine-Leaf network topology and its advantages.
• Deploy VXLAN for scalable and efficient database networking.
• Optimize database workloads across distributed data centre environments.
• Implement Spine-Leaf architecture in both cloud and on-premises data centres.
• Strengthen network security, redundancy, and fault tolerance for database environments.
• Automate network configurations for database management using Python and Ansible.

This instructor-led, live training in Maia (online or onsite) is designed for beginner to intermediate-level data analysts, database professionals, and software developers who wish to learn SQL for effective database management.

By the end of this training, participants will be able to:

• Grasp and utilize core SQL commands and queries.
• Construct and manipulate tables and databases.
• Employ SQL to sort, filter, and summarize data.
• Execute more complex operations, including joins, subqueries, and set operations.
• Apply intermediate techniques such as indexes, views, stored procedures, and triggers.

This instructor-led live training in Maia (online or onsite) is aimed at intermediate-level data scientists who wish to learn how to utilize the COST IT module of Presto for cost analysis.

By the end of this training, participants will be able to:

• Understand the fundamentals of Presto and its role in big data analytics.
• Gain proficiency in using Presto's COST IT module for cost analysis.
• Optimize Presto queries for improved performance and resource utilization.
• Identify and implement cost-based optimizations in Presto.
• Troubleshoot and resolve common performance and cost-related issues in Presto.

This instructor-led, live training in Maia (online or onsite) is targeted at intermediate-level IT professionals seeking to learn how to design, implement, and manage relational databases, as well as how to query and manipulate data using SQL.

Upon completion of this training, participants will be able to:

• Understand the fundamentals of database design.
• Learn to create and manage relational databases.
• Gain proficiency in writing SQL queries to retrieve and manipulate data.
• Understand advanced SQL concepts and techniques.
• Develop skills to optimise and maintain databases.

This instructor-led, live training in Maia (online or onsite) targets intermediate-level developers and administrators looking to capitalize on the new features and improvements introduced in PostgreSQL 16.

By the conclusion of this training, participants will be capable of:

• Comprehending the architecture and components of PostgreSQL 16.
• Utilizing advanced SQL functionalities and PostgreSQL extensions.
• Implementing security best practices and managing access controls.
• Carrying out database administration duties, including backup, recovery, and monitoring.
• Optimizing database performance via tuning and indexing methods.
• Employing PostgreSQL's native tools for high availability and replication.
• Integrating PostgreSQL with modern application development frameworks.

Teradata is a highly scalable database platform, designed to manage large data volumes and facilitate efficient complex data analysis.

This instructor-led live training (in-person or remote) is aimed at data analysts, SQL developers, database administrators, and business intelligence professionals who wish to learn Teradata from an introductory to advanced level. The course combines theory with practical exercises to master data querying, management, optimisation, and administration in Teradata environments, enabling participants to work confidently on real-world analytics and big data processing projects.

Upon completing this training, participants will be able to:

• Understand Teradata's distributed architecture and parallel execution model.
• Write optimised SQL queries from basic level to advanced analytical functions.
• Design and execute large-scale data loading and transformation processes.
• Diagnose and improve query performance using tools such as EXPLAIN and statistics.
• Manage permissions, resources, and security in a shared environment.

Course Format

• Interactive presentations and conceptual explanations
• Practical exercises based on real-life cases
• Integration and optimisation labs
• Use of official tools such as Teradata Studio or BTEQ for live demonstrations

Customisation Options

To request custom training for this course, please contact us to arrange it.

This course focuses on programmatic interaction with PostgreSQL databases. It teaches the techniques, syntax, and structures required to build high-quality applications using a PostgreSQL backend. Additionally, the training covers SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience includes developers looking to use or extend PostgreSQL, as well as database architects.

This three-day course provides an introduction to Oracle PL/SQL, an application development environment that facilitates the creation of stored procedures, functions, and triggers using both SQL and PL/SQL commands.

The course is structured as a workshop, combining lectures, practical examples, and hands-on exercises. While the content can be customised to meet specific needs, a minimum of two days is required to cover the core elements.

Participants will receive comprehensive course notes, sample database files, example SQL scripts, and access to free software tools for interacting with Oracle databases.

This training is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up.

Participants will gain insights into PostgreSQL architecture, installation procedures, database design, as well as the methods for performing backup and recovery operations within PostgreSQL.

Participants will develop a solid understanding of several advanced Transact SQL capabilities, alongside gaining the ability to perform the following tasks:

• Employ queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Optimize queries for greater efficiency

This course is designed for individuals who currently utilise Transact SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly regarding data analysis and improving query speed.

This SQL training course is designed for individuals seeking to acquire the essential skills required to extract and analyze data from any database, as well as to generate comprehensive reports. Participants will learn:

• how to write SQL queries
• what relational databases are and how they can be utilized
• the concept of relations and how to establish them
• the structure of data
• differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for writing queries

This SQL course covers generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL or any other relational databases.

CockroachDB is an open-source distributed SQL database built for resilience and data locality. It offers a viable alternative to proprietary global databases like Google Spanner, enabling full infrastructure autonomy. This instructor-led, live training (online or on-site) is designed for advanced database engineers and architects looking to leverage CockroachDB to replace vendor-locked global SQL solutions.

This instructor-led, live training in Maia (online or onsite) is aimed at database administrators and developers who wish to migrate from proprietary databases to open source PostgreSQL.

By the end of this training, participants will be able to assess database migration readiness, plan and execute schema migration strategies, migrate data using appropriate tools, and handle application code conversion.

This instructor-led live training, conducted Maia (either online or onsite), is designed for developers and system administrators who intend to utilize Hazelcast for processing distributed data structures and optimizing application performance.

By the end of this training, participants will be able to:

• Install and configure Hazelcast to start creating and managing a cluster.
• Create a cluster for initiating automatic discovery of multiple processes.
• Set up Management Center for cluster connections and monitoring.
• Develop applications and deploy them through the Hazelcast cluster.

Scylla is an open-source distributed NoSQL data store. Compatible with Apache Cassandra, it delivers significantly higher throughput and lower latency.

In this course, participants will explore Scylla's features and architecture while gaining practical experience in setting up, administering, monitoring, and troubleshooting Scylla.

Audience

• Database administrators
• Developers
• System Engineers

Course Format

• The course is interactive, featuring discussions on the principles and approaches for deploying and managing Scylla distributed databases and clusters.
• The curriculum includes a substantial component of hands-on exercises and practice.

This training course provides an introduction to the Teradata relational database management system and its parallel architecture designed for large-scale data warehousing. It covers core concepts such as installation, architecture, SQL basics, and advanced topics, empowering data engineers with the knowledge needed for enterprise data warehouse design, relational modeling, and distributed query processing for business intelligence applications.