Data Management Training in Maia

Flow Monitoring Control Centers are critical hubs for observing, managing, and responding to real-time data in utility, infrastructure, and industrial environments. These centers ensure that flow systems — such as water, oil, gas, or data — are monitored accurately and controlled effectively according to operational and compliance requirements.

This instructor-led, live training (online or onsite) is aimed at intermediate-level operational and supervisory staff who will be involved in the day-to-day operation and management of a flow monitoring control center. The course covers system usage, alert handling, compliance alignment, and team coordination based on modern standards and best practices.

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

• Operate and manage flow monitoring control systems according to 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.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment or simulated control interface.

Course Customization Options

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

Privacy in Federal Institutions is a foundational course focused on the Privacy Act and its requirements for protecting personal information in government operations.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in privacy legislation who manage or process citizen data and wish to ensure compliance with the Privacy Act and related federal standards.

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

• Understand the key provisions and principles of the Privacy Act.
• Identify personal information and handle it in accordance with legal obligations.
• Develop and implement privacy-compliant practices in day-to-day operations.
• Respond effectively to access to information and correction requests.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of policy scenarios in public sector contexts.
• Guided exercises focused on compliance, documentation, and reporting.

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.

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

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

• Gain a comprehensive understanding of Stratio Data Fabric’s components, architecture, and functionalities.
• Design and execute data pipelines using Stratio’s Rocket analytical environment.
• Apply augmented data governance principles within Stratio for compliance, quality control, and security.
• Conduct descriptive and prescriptive data analyses using the Intelligence module in Stratio.
• Confidently transition existing Databricks projects to Stratio while ensuring smooth operational workflows and ongoing data analysis.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in industry-specific cloud environments.

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

• Understand the principles and components of data fabrics.
• Design and implement data integration and orchestration solutions.
• Ensure data quality and governance within industry cloud platforms.
• Utilize data fabrics to support industry-specific data analysis and decision-making.
• Stay current with emerging trends and technologies in cloud data management.

Data Protection Impact Assessment (DPIA) is a mandatory risk assessment process under GDPR and other data protection laws, aimed at identifying and mitigating risks to individuals' personal data in high-risk processing activities.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to understand and conduct DPIAs to ensure data privacy compliance and mitigate risks in data processing projects.

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

• Understand the legal and regulatory context of DPIAs.
• Determine when a DPIA is required and how to scope it effectively.
• Conduct a full DPIA lifecycle from initiation to documentation and review.
• Integrate DPIA practices into broader data governance frameworks.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation using real-world scenarios.

Course Customization Options

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

This instructor-led, live training in Maia (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills required to effectively prepare data for analysis, ensuring accuracy, consistency, and reliability in diverse datasets.

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

• Gain a thorough understanding of data preparation's significance 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.

This instructor-led, live training in Maia (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain in-depth knowledge and practical skills necessary for understanding, implementing, and leveraging the power of data catalogs within organizational settings.

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

• Learn to implement and manage data catalogs effectively within an organization.
• Utilize data catalogs for effective data governance and compliance.
• Develop skills for effective data discovery and search capabilities using data catalogs.
• Integrate data catalogs with existing data systems for seamless functionality.

Data Integrity and Availability is the discipline of ensuring that data remains accurate, complete, consistent, and accessible when needed, especially in high-trust public sector environments.

This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for managing or safeguarding data—regardless of their technical background—who wish to ensure the reliability, consistency, and availability of critical datasets and systems under their control.

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

• Define and differentiate the principles of integrity and availability in the data lifecycle.
• Detect and prevent data corruption, inconsistency, or unauthorized alterations.
• Design data environments that ensure high availability and business continuity.
• Implement policies and controls that promote long-term data reliability.

Format of the Course

• Interactive lecture and discussion.
• Hands-on evaluation of data risks and failure points.
• Guided exercises focused on policy development and incident prevention.

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.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level to advanced-level IT professionals and business leaders who wish to develop a structured approach to handling data breaches.

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

• Understand the causes and consequences of data breaches.
• Develop and implement data breach prevention strategies.
• Establish an incident response plan to contain and mitigate breaches.
• Conduct forensic investigations and assess the impact of breaches.
• Comply with legal and regulatory requirements for breach notification.
• Recover from data breaches and strengthen security postures.

This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to understand how to use Data Cloud for managing and analyzing data, integrating various data sources, and optimizing data workflows.

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

• Understand the core features and benefits of Data Cloud platforms.
• Set up and configure a Data Cloud environment.
• Integrate multiple data sources into a unified cloud environment.
• Analyze data using built-in tools and generate actionable insights.
• Implement best practices for data security and compliance in the cloud.

This live, instructor-led training (online or in-person) is aimed at intermediate-level data architects, engineers, analysts, and technical leaders who want to understand, design, and implement Data Mesh-based solutions, as well as prepare for specialized 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.

Purpose of the Training

• Acquainting the audience with systematized, comprehensive issues of the functioning of personal data protection on the basis of Polish and European law
• Providing practical knowledge about the new rules for the processing of personal data
• Presentation of the areas of the greatest legal risks in connection with the entry into force of the GDPR
• Practical preparation for independent performance of the duties of a Personal Data Protection Officer

This instructor-led, live training in Maia (online or onsite) is aimed at developers who wish to learn how to implement queues on the data structure.

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

• Learn about the algorithms that are commonly used in the data structure.
• Understand the applications of queue data structure.

This course is for anyone who needs to understand data protection and GDPR in particular.

At the end of the course candidates should be able to:

• Hold a recognised qualification in data protection.
• Gain an understanding of the key changes that the GDPR and the Data Protection Act (2018) bring to data protection.
• Gain an understanding of the new rights available to data subjects and the implications of those rights with the GDPR and Data Protection Act (2018).
• Gain an understanding of individual and organisational responsibilities under the GDPR and the Data Protection Act (2018), particularly the need for effectiveness record keeping.
• Gain an understanding of the increased obligations faced by data controllers and data processors as a result of the GDPR coming into force and the Data Protection Act (2018) being enacted.
• Be better placed to support their organisation in processing customer data in compliance with the GDPR and the Data Protection Act (2018).

This instructor-led, live training in Maia (online or onsite) is aimed at computer engineers, data analysts, and project managers who wish to design, manage and evaluate organizational data systems.

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

• Design data systems that fit an organization's needs.
• Evaluate data assets to craft an effective data processing system.
• Implement risk mitigation methods to build a solid enterprise data architecture.

Audience

• Programmers
• Beginner IT professionals

Format of the course

    Part lecture, part discussion, heavy hands-on practice

This is an Instructor led course, and is the non-certification version of the "CDP - Certificate in Data Protection" course

Those experienced in data protection issues, as well as those new to the subject, need to be trained so that their organisations are confident that legal compliance is continually addressed. It is necessary to identify issues requiring expert data protection advice in good time in order that organisational reputation and credibility are enhanced through relevant data protection policies and procedures.

Objectives:

The aim of the syllabus is to promote an understanding of how the data protection principles work rather than simply focusing on the mechanics of regulation. The syllabus places the Act in the context of human rights and promotes good practice within organisations. On completion, you will have:

• an appreciation of the broader context of the Act.
• an understanding of the way in which the Act and the Privacy and Electronic Communications (EC Directive) Regulations 2003 work
• a broad understanding of the way associated legislation relates to the Act
• an understanding of what has to be done to achieve compliance

Course Synopsis:

The syllabus comprises three main parts, each sub-sections.

• Context - this will address the origins of and reasons for the Act together with consideration of privacy in general.
• Law – Data Protection Act - this will address the main concepts and elements of the Act and subordinate legislation.
• Application - this will consider how compliance is achieved and how the Act works in practice.

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.

This one-day course is for people looking for a brief outline of the GDPR – General Data Protection Regulations coming out May 25, 2018. This is ideal for managers, department heads, and employees who need to understand the basics of the GDPR.

This course is developed primarily with focus on auditors and other administrative roles who are
tasked to ensure compliance of their control systems and IT environment with prevailing laws and
regulations. The course will begin by giving understanding of key GDPR concepts as well as how it is
going to affect the work performed by auditors. Participants will also explore data subjects rights,
data controllers and processors obligations, and enforcement and compliance notions in the
context of the Regulation. The training will also cover the audit program provided by ISACA that will
enable auditors to review GDPR governance and response mechanisms as well as supporting
processes which can help manage the risk associated with noncompliance.

KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows

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

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 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 optimize 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.

Sensor Fusion is the combination and integration of data from multiple sensors to provide a more accurate, reliable and contextual view of data.

Sensor Fusion implementations require algorithms to filter and integrate different data sources. 

Audience

This course is targeted at engineers, programmers and architects who deal with multi-sensor implementations.

This instructor-led, live training in Maia (online or onsite) is aimed at system administrators, data scientists, and business analysts who wish to set up Talend Administration Center to deploy and manage the organization's roles and tasks.

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

• Install and configure Talend Administration Center.
• Understand and implement Talend management fundamentals.
• Build, deploy, and run business projects or tasks in Talend.
• Monitor the security of datasets and develop business routines based on the TAC framework.
• Obtain a broader comprehension of big data applications.

This instructor-led, live training in Maia (online or onsite) is aimed at technical persons who wish to deploy Talend Open Studio for Big Data to simplifying the process of reading and crunching through 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.

In this instructor-led, live training in Maia, participants will learn how to use Talend Open Studio for ESB to create, connect, mediate and manage services and their interactions.

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

• Integrate, enhance and deliver ESB technologies as single packages in a variety of deployment environments.
• Understand and utilize Talend Open Studio's most used components.
• Integrate any application, database, API, or Web services.
• Seamlessly integrate heterogeneous systems and applications.
• Embed existing Java code libraries to extend projects.
• Leverage community components and code to extend projects.
• Rapidly integrate systems, applications and data sources within a drag-and-drop Eclipse environment.
• Reduce development time and maintenance costs by generating optimized, reusable code.