Database Training in Maia

This instructor-led, live training in Maia (online or onsite) is designed for intermediate-level database administrators and IT professionals seeking to acquire practical expertise in installing, configuring, securing, and maintaining Oracle Database 23ai.

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

• Install and configure Oracle Database 23ai.
• Manage database storage, users, and security settings.
• Optimise database performance using AI-driven automation.
• Implement backup and recovery strategies.
• Monitor and troubleshoot database performance issues.

This instructor-led, live training in Maia (online or onsite) is designed for beginner-level database administrators aiming to equip themselves with the necessary skills to manage and optimise their Oracle environments effectively.

Upon completing this training, participants will be capable of:

• Grasping the core features and architecture of Oracle Database 19c, encompassing system requirements and installation procedures.
• Acquiring practical expertise in installing Oracle Database 19c and Oracle Grid Infrastructure, including the configuration of network, storage, and security settings.
• Mastering the full upgrade process for Oracle Database 19c, ranging from pre-upgrade planning to post-upgrade validation.
• Developing troubleshooting capabilities to address common challenges encountered during installation and upgrade phases.
• Applying best practices for Oracle Database installation and upgrades to guarantee a seamless and successful deployment.

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 training in Maia delves into Oracle Data Integrator (ODI) architecture, ELT processing, and the utilization of Knowledge Modules. Participants will learn to design data mappings, implement interfaces, and manage deployments, thereby constructing robust integration solutions for heterogeneous environments.

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 onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

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

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led live training in Maia is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at enterprise scale. Through hands-on exercises in a live-lab environment, participants will gain mastery over database cloning, AI-driven query optimization, and advanced monitoring techniques.

This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn about Milvus and its practical applications in various AI scenarios.

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

• Understand the architecture and features of Milvus.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Milvus to real-world AI challenges.

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, delivered in Maia (either online or onsite), targets intermediate to advanced data scientists and machine learning engineers who aim to master the utilization of vector databases for scalable, high-performance AI applications.

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

• Understand the principles of vector databases.
• Learn techniques for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop skills for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.

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.

Designed to equip you with the core competencies for installing, configuring, and overseeing PostgreSQL databases, this module focuses on essential operational tasks. You will gain proficiency in implementing user security protocols, executing backup and recovery procedures, overseeing system logs, and optimising fundamental parameters. By engaging in hands-on scenarios, you will execute realistic administrative duties while building a strong foundation for advanced subjects such as performance tuning and replication strategies.

This instructor-led, live training in Maia (online or onsite) is designed for system administrators who wish to learn how to administer, monitor, and support an Oracle database.

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

• Comprehend the key features and architectural changes in the Oracle database.
• Manage and monitor Oracle databases.
• Optimize Oracle database performance.

CockroachDB is an open-source distributed SQL database engineered for resilience and data locality. It serves as a replacement for proprietary global databases such as Google Spanner, while allowing organisations to retain full control over their infrastructure. This instructor-led live training (available online or onsite) is designed for advanced database engineers and architects who aim to utilise CockroachDB to replace proprietary global SQL databases.

This instructor-led, live training in Maia (online or onsite) targets database administrators and developers looking to migrate from proprietary databases to the open-source PostgreSQL platform.

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

This course delivers detailed coverage of replication, high availability, and cluster management in PostgreSQL. Participants will construct and manage multi-node setups, configure automated failover, and explore solutions for load balancing and connection pooling. The program includes live replication labs and recovery simulations.