Online Data Management Training in Slovenia

Microsoft System Center Data Protection Manager (DPM) is Microsoft’s enterprise backup and recovery solution for protecting workloads such as file servers, databases, and virtual machines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to deploy, configure, and manage DPM to protect data and ensure business continuity.

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

• Install and configure DPM servers and agents.
• Create and manage protection groups.
• Perform backup and recovery operations.
• Integrate DPM with other disaster recovery solutions.

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.

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.

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.

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 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.

Purpose of the Training

• Gaining practical knowledge on how to perform the tasks of the Inspector
• Gaining practical knowledge of how to audit and how to assess risk
• Providing practical knowledge about the new rules for the processing of personal data

This instructor-led, live training in Slovenia (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 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.

This instructor-led, live training in Slovenia (online or onsite) is aimed at sysadmins and developers who wish to set up, deploy, and manage Oracle GoldenGate for data transformation.

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

• Install and configure Oracle GoldenGate.
• Understand Oracle databases replication using the Oracle GoldenGate tool.
• Understand the Oracle GoldenGate architecture.
• Configure and perform a database replication and migration.
• Optimize Oracle GoldenGate performance and troubleshoot issues.

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

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 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 Slovenia (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.

Who is it for:

• Anyone who has some existing responsibility for data protection within their organisation.
• It’s also useful for those who want to broaden their basic understanding in this area and fully understand the practical applications of data protection laws.
• Whilst this certificate is written to the UK Data Protection Act, many other jurisdictions have enacted broadly similar data protection laws, so international candidates may also find this useful.

What will I learn:

Candidates will be able to:

• Gain an understanding of the key changes and the associated implications that the GDPR and the UK Data Protection Act 2018 introduce to data protection.
• Gain an understanding of individual and organisational responsibilities under the GDPR and the UK Data Protection Act, particularly the need for effective record keeping.
• Be able to apply the new rights available to data subjects and understand the implications of those rights.
• Be able to demonstrate an understanding of the designation, position and role / tasks of a data protection officer.
• Be able to prepare organisations to manage and handle personal data in compliance with the GDPR and the UK Data Protection Act.

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 Slovenia (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 instructor-led, live training in (online or onsite) is aimed at enterprise leaders who wish to understand data sovereignty principles and develop compliant data management strategies.

By the end of this training, participants will be able to define data sovereignty, identify relevant laws, assess compliance risks, and implement governance frameworks for cross-border data management.

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 beginner-level, intermediate-level, and advanced-level data professionals who wish to use Microsoft Purview to enhance their data governance and compliance capabilities.

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

• Install and configure Microsoft Purview.
• Implement data governance and compliance policies.
• Utilize data discovery and classification features.
• Monitor and manage data compliance.

Snowflake is a cloud-based data storage platform that offers extensive capabilities for processing and analyzing large datasets. It is a Software-as-a-Service (SaaS) solution that combines the flexibility and scalability of the cloud with the capabilities of an advanced data warehouse. Key features and functions of Snowflake include:

Cloud-Based Architecture: Snowflake is built in the cloud and optimized for flexibility and performance, allowing for easy scalability of data storage and processing resources.

Separation of Storage and Compute Workloads: Snowflake's unique architecture separates the data storage workload from the compute workload, allowing for independent scaling and optimization of these two aspects.

Support for Diverse Data: Snowflake enables the storage and analysis of various data types, including structured, semi-structured (e.g., JSON, XML), and unstructured data.

High Performance and Query Optimization: The system offers fast query processing and automatic optimization, enabling efficient execution of complex analyses on large datasets.

Security and Access Management: Snowflake provides advanced security features, including data encryption, role-based access management, and auditing.

Easy Integration: The platform easily integrates with popular ETL, BI, and data analysis tools and services, allowing for the creation of comprehensive analytical solutions.

Cost Flexibility and Scalability: A usage-based payment model allows for cost optimization and paying only for the resources actually used.

Versatility of Applications: Snowflake is suitable for various use cases, from simple BI analyses to advanced data processing, including big data analyses, machine learning, and more.

Snowflake is a popular choice among organizations of all sizes due to its flexibility, performance, ease of use, and the ability to adapt to various business and technological needs.

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.

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.

This instructor-led, live training in Slovenia (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 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.