Data Management Training in Ljubljana

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 Ljubljana (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 Ljubljana (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.

Records Management is the process of systematically controlling the creation, distribution, use, and preservation of information throughout its lifecycle.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in records management who handle or oversee organizational information and wish to implement compliant, efficient, and sustainable records retention and archiving systems.

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

• Understand legal and regulatory obligations for records retention in government agencies.
• Establish records classification systems aligned with operational needs and compliance requirements.
• Apply lifecycle management practices to ensure proper archiving and disposal of records.
• Introduce digital transformation and automation into records processes.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of classification and retention planning tools in public sector case examples.
• Guided exercises focused on records inventory, lifecycle mapping, and compliance strategies.

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.

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 Ljubljana (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.

Data Policies and Standards is the structured approach to ensuring that government data is created, maintained, accessed, and used in ways that are consistent, secure, and aligned with legal and ethical guidelines.

This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for setting or applying data policies—regardless of 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 is a comprehensive platform for designing enterprise-grade ETL and data pipelines.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to master high-performance, enterprise-scale, and highly automated PDI solutions.

After completing this course, learners will be equipped to:

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

Format of the Course

• Expert-led demonstrations and architectural discussion.
• Extensive lab work on advanced real-world ETL challenges.
• Hands-on development in a production-like environment.

Course Customization Options

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

This instructor-led, live training in Ljubljana (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.

Pentaho Data Integration is a data extraction, transformation, and loading platform.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to enhance their PDI skills for more complex transformation scenarios.

Upon completing this training, participants will be able to:

• Design multi-step transformations with improved performance.
• Work with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems.
• Apply best practices for maintainable and scalable ETL pipelines.

Format of the Course

• Interactive demos and instructor explanations.
• Guided exercises and scenario-based practice.
• Hands-on work in a real-world ETL project environment.

Course Customization Options

• If you need a tailored version of this course, please contact us to customize it.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at intermediate-level to advanced-level compliance officers, legal teams, and data protection professionals who wish to ensure their organization’s SAR process is efficient, compliant, and risk-free.

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

• Understand the legal framework governing SARs.
• Process SARs efficiently while maintaining compliance.
• Identify exemptions and limitations under data protection laws.
• Handle complex SAR scenarios, including third-party data.
• Implement best practices for SAR documentation and response.

Data Ethics is the field concerned with responsible data collection, usage, and decision-making in ways that uphold human rights, privacy, transparency, and fairness.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or no prior training in data ethics who manage or govern data and wish to understand ethical risks, evaluate real-world dilemmas, and apply principles of responsible data use in alignment with institutional values and public trust.

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

• Define key concepts and frameworks in data ethics.
• Identify ethical risks and trade-offs in data collection, analysis, and deployment.
• Apply principles of transparency, consent, and fairness to real-world scenarios.
• Integrate ethical review into governance or operational workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on analysis of real-world data ethics cases.
• Guided exercises focused on ethical evaluation and policy alignment.

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

Pimcore is an open-source platform for product information management (PIM), digital asset management (DAM), and master data management (MDM).

This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers and technical implementers who wish to configure products, integrate with systems, and manage workflow approvals using Pimcore.

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

• Create and configure products with structured attributes and validation rules.
• Design and customize product views for better data presentation and usability.
• Integrate Pimcore Datahub with Kafka for real-time data exchange.
• Manage user roles, access rights, workflows, and change history effectively.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Pimcore in guided product and workflow configurations.
• Practical exercises focused on real-world product data and integration scenarios.

Course Customization Options

• To request a customized training for this course based on your organization’s Pimcore environment or product modeling practices, please contact us to arrange.

This instructor-led, live training in Ljubljana (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 instructor-led, live training in Ljubljana (online or onsite) is aimed at beginner to intermediate-level data analysts who wish to deepen their understanding and skills 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 Ljubljana (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

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

• Share visualizations among different team members.
• Secure access to software based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages such as R with Spotfire.

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 5-day course addresses all the information management disciplines as defined in the DAMA body of knowledge (DMBoK). Taught by an industry recognized DAMA DMBoK (2.0) author and CDMP(Fellow) this course provides a solid foundation across all of the disciplines across the complete Information management spectrum. By attending the course, delegates will get a firm grounding of the core Information Management concepts and illustrate their practical application with real examples of how Information architecture is applied.

This instructor-led, live training in Ljubljana (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.

This course is for 10.x. Learn how to automate a data quality assurance process using the Informatica Data Quality platform. Define, standardize, and enhance data while testing and debugging Data Quality solutions.

Learn how to use Developer to profile, cleanse, standardize, de-duplicate, and consolidate data across a business. Building custom Classifier and Probabilistic Models, automating Associating and Consolidating matching data, applying Parameters in mappings, and more. This course covers all 10 releases.

The course covers Data Quality Management within the DAMA Body of Knowledge (DMBoK®) in depth. It discusses the many different parts of Data Quality and why validity is often confused with quality. It discusses the dimensions of Data Quality as well as the policies, procedures, metrics, technology, and resources for ensuring Data Quality. It looks at a specific reference model, as well as root cause analysis, tools that helps support Data Quality Management, creation and monitoring of Data Quality measures, and various myths and pitfalls around Data Quality Management.

This instructor-led, live training in Ljubljana (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.

Master the General Data Protection Regulation essentials in an intensive one-day workshop designed for managers, department heads, and compliance staff. Covers GDPR foundations, data subject rights, data protection principles, consent requirements, breach notification obligations, and privacy by design. Provides practical frameworks for implementing GDPR compliance strategies across your organization, ensuring lawful data processing and building a culture of accountability in data protection.

This instructor-led, live training in Ljubljana (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 Ljubljana (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.

This training course provides participants with a practical and business focused understanding of how modern data products are designed, built, deployed, and managed within organizations. The program explores the complete lifecycle of data products, from identifying business opportunities and designing scalable architectures to implementing reliable pipelines, embedding analytics and AI capabilities, and productizing solutions for end users. Participants will gain exposure to modern data ecosystems, cloud based architectures, data engineering practices, governance considerations, and emerging trends shaping the future of data driven organizations. The course combines strategic understanding with technical implementation concepts, enabling participants to bridge the gap between business requirements and modern data platforms.

In this instructor-led, live training in Ljubljana, 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.