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.

Data Strategy is the long-term plan for how an organization will manage, use, and invest in data to drive its mission, improve public services, and ensure accountability.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in data strategy who shape or influence strategic decisions and wish to develop sustainable, mission-aligned data strategies across their organization or department.

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

• Define key elements of a comprehensive data strategy.
• Align data initiatives with organizational objectives and public value.
• Develop roadmaps for data governance, infrastructure, skills, and innovation.
• Evaluate maturity and progress toward becoming a data-driven organization.

Format of the Course

• Interactive lecture and discussion.
• Hands-on development of strategy components and roadmaps.
• Guided analysis of public sector case studies and strategic frameworks.

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 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.

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

This instructor-led, live training (online or onsite) is aimed at 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 Veritas Backup Exec architecture and features.
• Install and configure a backup solution using Backup Exec.
• Create and manage backup and restore jobs.
• Develop basic backup and recovery strategies.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

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 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 Ljubljana (online or onsite) is aimed at intermediate-level IT professionals who wish to configure, manage, and troubleshoot NetApp ONTAP clusters.

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

• Install and configure NetApp ONTAP clusters.
• Manage storage resources and networking settings.
• Implement security and access control policies.
• Monitor and troubleshoot ONTAP cluster environments.

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.

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.

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 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.

The CIPP/E training course provides an in-depth review of the GDPR and critical data protection concepts. Principles of Data Protection in Europe covers the essential pan-European and national data protection laws, as well as industry standard best practices for corporate compliance with these laws.

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.

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 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.

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.

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

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 instructor-led, live training in Ljubljana (online or onsite) is aimed at engineers who wish to use Pimcore to manage product, customer, vendor, etc. data across multiple domains.

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

• Consolidate complex master data across heterogeneous systems.
• Configure complex multi-domain data models from multiple sources and formats.
• Model, store and manage the hierarchy and structure of data within an organization.
• Cleanse, match, verify, and standardize master data.
• Integrate PIM data with digital asset management (DAM), content management (CMS), and user experience / customer experience design (UX / CX).

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