Data Management Training in Maia

Flow Monitoring Control Centres serve as vital hubs for observing, managing, and responding to real-time data within utility, infrastructure, and industrial settings. These centres ensure that flow systems — such as those for water, oil, gas, or data — are monitored with precision and controlled effectively to meet operational and compliance requirements.

This instructor-led, live training (available online or on-site) is designed for intermediate-level operational and supervisory staff involved in the daily operation and management of a flow monitoring control centre. The course covers system usage, alert handling, compliance alignment, and team coordination, grounded in modern standards and best practices.

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

• Operate and manage flow monitoring control systems in accordance with industry standards.
• Interpret real-time data and respond effectively to alerts and operational deviations.
• Oversee compliance with applicable regulations, certifications, and internal procedures.
• Implement and improve reporting, escalation, and communication protocols.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment or simulated control interface.

Course Customisation Options

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

This instructor-led, live training in Maia (online or onsite) is designed for beginner-level data analysts who wish to utilize Stratio Data Fabric for data mining, database exploitation, and advanced analytical projects.

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

• Develop a thorough understanding of Stratio Data Fabric’s components, architecture, and core functionalities.
• Design and execute data pipelines using Stratio’s Rocket analytical environment.
• Implement augmented data governance principles within Stratio to ensure compliance, quality control, and security.
• Perform descriptive and prescriptive data analyses using the Intelligence module in Stratio.
• Confidently migrate existing Databricks projects to Stratio while maintaining smooth operational workflows and continuous data analysis.

This instructor-led, live training in Maia (available online or onsite) is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals aiming to master data management within industry-specific cloud environments.

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

• Grasp the fundamental principles and components of data fabrics.
• Design and deploy data integration and orchestration solutions.
• Uphold data quality and governance standards within industry cloud platforms.
• Leverage data fabrics to facilitate industry-specific data analysis and strategic decision-making.
• Remain abreast of emerging trends and technologies in cloud data management.

A Data Protection Impact Assessment (DPIA) is a compulsory risk assessment procedure under the GDPR and other data protection legislations, designed to identify and address risks to individuals' personal data within high-risk processing activities.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals seeking to grasp and execute DPIAs, ensuring data privacy compliance and mitigating risks in data processing projects.

Upon completing this training, participants will be capable of:

• Comprehending the legal and regulatory framework governing DPIAs.
• Determining the necessity for a DPIA and effectively scoping it.
• Navigating the full DPIA lifecycle, from initiation to documentation and review.
• Integrating DPIA practices into broader data governance frameworks.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation using real-world scenarios.

Customization Options

• To request bespoke training for this course, please get in touch with us to arrange it.

This instructor-led, live training in Maia (online or on-site) is designed for beginner to intermediate-level IT professionals who wish to acquire the knowledge and practical skills needed to effectively prepare data for analysis, ensuring accuracy, consistency, and reliability across diverse datasets.

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

• Gain a thorough understanding of the significance of data preparation in ensuring high-quality, reliable data for analysis and modeling purposes.
• Acquire hands-on proficiency in data collection, cleaning, transformation, and integration techniques using real-world datasets.
• Develop the ability to identify and address data-related challenges, discrepancies, and inconsistencies effectively.

Data Policies and Standards represents a systematic approach to guaranteeing that government data is created, maintained, accessed, and utilised in a manner that is consistent, secure, and aligned with legal and ethical guidelines.

This instructor-led, live training (available online or onsite) targets public sector professionals responsible for establishing or applying data policies, regardless of their technical background, who wish to standardize, document, and enforce data practices across departments or systems.

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

• Define and differentiate between data policies, standards, and procedures.
• Draft and evaluate data governance policies aligned with national and international frameworks.
• Promote consistent and high-quality data practices across teams and departments.
• Build a foundation for compliance, audit readiness, and trustworthy data systems.

Format of the Course

• Interactive lecture and discussion.
• Hands-on drafting of sample policies and standards.
• Guided evaluation of existing data workflows and controls.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Pentaho Data Integration serves as a robust platform for designing enterprise-grade ETL processes and data pipelines.

This instructor-led live training, available either online or onsite, targets advanced-level engineers aiming to master high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completing this course, participants will gain the ability to:

• Architect large-scale ETL pipelines with advanced orchestration capabilities.
• Optimize complex transformations to ensure high performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable workflows ready for production use.

Course Format

• Expert-led demonstrations accompanied by architectural discussions.
• Extensive lab work focused on advanced, real-world ETL challenges.
• Hands-on development conducted within a production-like environment.

Course Customization Options

• Please contact us if you require a customized version of this training.

Veritas Backup Exec provides a unified data protection solution for virtual, physical, and cloud environments.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT infrastructure professionals who wish to configure and manage Veritas Backup Exec to ensure secure, streamlined, and effective backup and recovery.

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

• Understand the architecture and features of Veritas Backup Exec.
• Install and configure a backup solution using Backup Exec.
• Create and manage backup and restore jobs.
• Develop basic backup and recovery strategies.

Course Format

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

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 tailored for beginner to intermediate-level IT professionals seeking to gain the in-depth knowledge and practical skills necessary to understand, implement, and utilize data catalogs effectively within organizational contexts.

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

• Implement and manage data catalogs effectively within an organization.
• Use data catalogs to facilitate effective data governance and compliance.
• Develop competencies for effective data discovery and search capabilities via data catalogs.
• Integrate data catalogs with existing data systems for seamless functionality.

Purpose of the Training

• Gaining practical knowledge on how to perform the tasks of the Inspector
• Gaining practical knowledge of how to audit and how to assess risk
• Providing practical knowledge about the new rules for the processing of personal data

This live, instructor-led training (available online or in-person) is aimed at mid-level data architects, engineers, analysts, and technical leaders who wish to understand, design and implement Data Mesh-based solutions, as well as prepare for specialised certifications in this approach.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level IT professionals who wish to configure and manage data protection mechanisms using NetApp ONTAP technologies.

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

• Understand ONTAP data protection architecture and concepts.
• Configure and manage Snapshot copies for rapid data recovery.
• Implement and monitor SnapMirror for data replication.
• Use SnapVault and other ONTAP features for backup and archiving strategies.

This instructor-led live training in Maia (online or onsite) is aimed at sysadmins and developers who wish to set up, deploy, and manage Oracle GoldenGate for data transformation.

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

• Install and configure Oracle GoldenGate.
• Understand Oracle databases replication using the Oracle GoldenGate tool.
• Understand the Oracle GoldenGate architecture.
• Configure and perform a database replication and migration.
• Optimize Oracle GoldenGate performance and troubleshoot issues.

Pentaho Data Integration is an open-source data integration tool designed for defining jobs and data transformations.

In this instructor-led live training, participants will learn how to leverage Pentaho Data Integration’s powerful ETL capabilities and rich GUI to manage the entire big data lifecycle and maximize the value of data within their organization.

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

• Create, preview, and execute basic data transformations containing steps and hops.
• Configure and secure the Pentaho Enterprise Repository.
• Harness disparate data sources and generate a single, unified version of the truth in an analytics-ready format.
• Provide results to third-party applications for further processing.

Audience

• Data Analysts
• ETL developers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice.

This instructor-led, live training in Maia (online or onsite) is designed for developers who wish to learn how to implement queues within data structures.

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

• Explore the algorithms commonly used in this data structure.
• Understand the practical applications of queue data structures.

This instructor-led live training in Maia (available online or onsite) is designed for beginner to intermediate data analysts who wish to deepen their expertise in managing and improving data quality using Talend Data Stewardship.

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

• Gain a comprehensive understanding of the role of data stewardship in maintaining data quality.
• Use Talend Data Stewardship for managing data quality tasks.
• Create, assign, and manage tasks within Talend Data Stewardship, including workflow customization.
• Use the tool's reporting and monitoring capabilities to track data quality and stewardship efforts.

This instructor-led, live training in Maia (online or onsite) is designed for business analysts wishing to learn advanced Spotfire Analyst techniques for data analysis.

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

• Share visualizations with various team members.
• Secure software access according to roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages like R with Spotfire.

This course is designed for anyone seeking to understand data protection principles, with a specific focus on the GDPR.

Upon completing the course, candidates will be able to:

• Obtain a recognised qualification in data protection.
• Understand the key changes introduced by the GDPR and the Data Protection Act (2018) to data protection standards.
• Gain insight into the new rights afforded to data subjects and the implications of these rights under the GDPR and the Data Protection Act (2018).
• Appreciate the individual and organisational responsibilities mandated by the GDPR and the Data Protection Act (2018), particularly regarding the importance of effective record-keeping.
• Understand the enhanced obligations faced by data controllers and data processors following the enactment of the GDPR and the Data Protection Act (2018).
• Better support their organisation in processing customer data in full compliance with the GDPR and the Data Protection Act (2018).

Who is it for:

• Any professional who currently holds responsibilities related to data protection within their organisation.
• It is also highly beneficial for individuals seeking to expand their foundational knowledge in this field and gain a thorough understanding of the practical implications of data protection legislation.
• Although this certification is aligned with the UK Data Protection Act, numerous other jurisdictions have implemented broadly similar regulations, making it valuable for international candidates as well.

What will I learn:

Upon completion, candidates will be able to:

• Understand the key changes and associated implications introduced by the GDPR and the UK Data Protection Act 2018 regarding data protection.
• Comprehend the individual and organisational responsibilities under the GDPR and the UK Data Protection Act, with a particular focus on the importance of effective record-keeping.
• Apply the new rights afforded to data subjects and grasp the implications of exercising these rights.
• Demonstrate an understanding of the appointment, position, and role or tasks associated with a Data Protection Officer.
• Prepare organisations to manage and process personal data in full compliance with the GDPR and the UK Data Protection Act.

This instructor-led, live training in Maia (online or onsite) is aimed at repository managers, SysAdmins, and developers who wish to install, configure, and monitor the DSpace platform to manage their content assets.

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

• Set up DSpace to manage and preserve various types of digital content.
• Manage the DSpace platform to store, preserve, and share document libraries online.
• Configure DSpace user interface, metadata, and database to suit organizational needs.
• Use analytics services to monitor user traffic and metrics and generate useful statistics for the organization.

This instructor-led, live training in Maia (online or onsite) is aimed at developers who wish to use EBX5 (TIBCO EBX) to enable a Master Data Management solution within their organization.

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

• Interpret requirements and architect an MDM solution.
• Enable the management and integration of master data.
• Integrate and transfer data across multiple systems.
• Import data into EBX5 using match and merge logic.
• Design, create and document a data model that addresses their organization's business requirements.
• Integrate EBX5 with 3rd party services.

Gain mastery over the core principles of the General Data Protection Regulation through an intensive one-day workshop tailored for managers, department heads, and compliance professionals. The course covers GDPR fundamentals, the rights of data subjects, key data protection principles, consent requirements, obligations regarding breach notification, and privacy by design. Participants will receive practical frameworks to implement GDPR compliance strategies throughout their organization, ensuring lawful data processing and fostering a culture of accountability in data protection.

Designed primarily for auditors and administrative professionals responsible for verifying that their control systems and IT environments adhere to current laws and regulations, this course provides essential insights into the General Data Protection Regulation (GDPR). The curriculum starts by clarifying fundamental GDPR concepts and illustrating their impact on auditing practices. Participants will investigate the rights of data subjects, the obligations of data controllers and processors, and the mechanisms for enforcement and compliance under the Regulation. Additionally, the training includes the ISACA audit program, equipping auditors with the tools to evaluate GDPR governance, response mechanisms, and supporting processes, thereby helping to mitigate risks associated with non-compliance.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analytics platform. The programme covers an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, business modelling methodology, and data modelling. The course also discusses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualisation, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion covers reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led, live training in Maia (online or onsite) is designed for system administrators, database administrators, data architects, and developers who wish to install, configure, and manage MarkLogic Data Hub to organize and manage their data from various silos.

By the end of this training, participants will be able to customize, secure, track, and manage their enterprise data using MarkLogic Data Hub capabilities and tools.

This instructor-led, live training in Maia (online or onsite) is aimed at system administrators, database administrators, data architects, and developers who wish to install, configure, and manage MarkLogic Server to optimise their database systems.

By the end of this training, participants will be able to implement, develop, manage, and secure their enterprise data and database systems using MarkLogic Server.

This instructor-led, live training in Maia (online or onsite) is designed for data professionals at beginner, intermediate, and advanced levels who wish to utilise Microsoft Purview to enhance their data governance and compliance capabilities.

Upon completing this training, participants will be able to:

• Install and configure Microsoft Purview.
• Implement data governance and compliance policies.
• Utilise data discovery and classification features.
• Monitor and manage data compliance.

This training program offers participants a practical, business-oriented understanding of how modern data products are designed, constructed, deployed, and managed within organizations. The curriculum examines the entire lifecycle of data products, ranging from identifying business opportunities and designing scalable architectures to implementing robust pipelines, integrating analytics and AI capabilities, and productizing solutions for end users. Participants will gain insight into modern data ecosystems, cloud-based architectures, data engineering best practices, governance considerations, and emerging trends defining the future of data-driven enterprises. The course bridges strategic understanding with technical implementation concepts, empowering participants to connect business requirements with modern data platforms.

This instructor-led, live training in Maia (online or onsite) is designed for system administrators, data scientists, and business analysts who wish to configure Talend Administration Center to deploy and manage their organisation's roles and tasks.

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

• Install and configure Talend Administration Center.
• Understand and implement core Talend management principles.
• Build, deploy, and execute business projects or tasks within Talend.
• Monitor dataset security and develop business routines based on the TAC framework.
• Gain a comprehensive understanding of big data applications.

This instructor-led, live training in Maia (online or onsite) is designed for technical professionals looking to deploy Talend Open Studio for Big Data to streamline the process of reading and analysing big data.

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

• Install and configure Talend Open Studio for Big Data.
• Connect with big data systems such as Cloudera, HortonWorks, MapR, Amazon EMR, and Apache.
• Understand and set up Open Studio's big data components and connectors.
• Configure parameters to automatically generate MapReduce code.
• Use Open Studio's drag-and-drop interface to run Hadoop jobs.
• Prototype big data pipelines.
• Automate big data integration projects.