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.

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.

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.

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

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

In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an 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 run basic data transformations containing steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
• Provide results to third-part applications for further processing

Audience

• Data Analyst
• ETL developers

Format of the course

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

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 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.

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 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.

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 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.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The program covers data processing and analysis introduction, KNIME installation and configuration, building workflows, business model creation methodology, 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, BIRT integration, 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.

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

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 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.