Online Data Management Training in Slovenia

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.

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

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

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 instructor-led, live training in Slovenia (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

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 Slovenia (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 Slovenia (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 course is for software 10.5. Learn to speed up Data Engineering Integration with large ingestion, incremental loading, transformations, complicated file processing, dynamic mappings, and Python. Examine how to reuse application logic for Data Engineering use cases while monitoring, troubleshooting, and best practices.

Objectives

After successfully completing this course, students should be able to:

• Mass ingest data to Hive and HDFS
• Perform incremental loads in Mass Ingestion
• Perform initial and incremental loads
• Integrate with relational databases using SQOOP
• Perform transformations across various engines
• Execute a mapping using JDBC in Spark mode
• Perform stateful computing and windowing
• Process complex files
• Parse hierarchical data on Spark engine
• Run profiles and choose sampling options on Spark engine
• Execute Dynamic Mappings
• Create Audits on Mappings
• Monitor logs using REST Operations Hub
• Monitor logs using Log Aggregation and troubleshoot
• Run mappings in Databricks environment
• Create mappings to access Delta Lake tables
• Tune performances of Spark and Databricks jobs

Audience

• Programmers
• Beginner IT professionals

Format of the course

    Part lecture, part discussion, heavy hands-on 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.

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 Slovenia (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 Slovenia (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 is more in-depth and would be for those working a great deal with the GDPR and who may be appointed to the GDPR team. This would be ideal for IT, human resources and marketing employees, and they will deal extensively with the GDPR.

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

The PECB Certified Data Protection Officer training course enables you to acquire the necessary knowledge and skills, and develop the competence to perform the role of the data protection officer in a GDPR compliance program implementation.

Why should you attend?

As data protection is becoming more and more valuable, the need for organizations to protect these data is also constantly increasing. Besides violating the fundamental rights and freedoms of persons, not complying with the data protection regulations can lead to risky situations that could harm an organization’s credibility, reputation, and financial status. This is where your skills as a data protection officers come to place.

The PECB Certified Data Protection Officer training course will help you acquire the knowledge and skills to serve as a Data Protection Officer (DPO) so as to help organizations ensure compliance with the General Data Protection Regulation (GDPR) requirements.

Based on practical exercises, you will be able to master the role of the DPO and become competent to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority.

After attending the training course, you can sit for the exam, and if you successfully pass the exam, you can apply for the “PECB Certified Data Protection Officer” credential. The internationally recognized “PECB Certified Data Protection Officer” certificate will prove that you have the professional capabilities and practical knowledge to advise the controller and the processor on how to meet their obligations regarding the GDPR compliance.

Who should attend?

• Managers or consultants seeking to prepare and support an organization in planning, implementing, and maintaining a compliance program based on the GDPR
• DPOs and individuals responsible for maintaining conformance with the GDPR requirements
• Members of information security, incident management, and business continuity teams
• Technical and compliance experts seeking to prepare for a data protection officer role
• Expert advisors involved in the security of personal data

Learning objectives

• Understand the concepts of the GDPR and interpret its requirements
• Understand the content and the correlation between the General Data Protection Regulation and other regulatory frameworks and applicable standards, such as ISO/IEC 27701 and ISO/IEC 29134
• Acquire the competence to perform the role and daily tasks of the data protection officer in an organization
• Develop the ability to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority

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

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