Data Management Training in Copenhagen

This instructor-led, live training, conducted in Copenhagen (either online or onsite), is designed for junior data analysts looking to utilize Stratio Data Fabric for data mining, database exploitation, and advanced analytical tasks.

Upon finishing this training, participants will be able to:

• Acquire a holistic 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 assurance, and security.
• Carry out descriptive and prescriptive data analyses using the Intelligence module in Stratio.
• Successfully transition existing Databricks projects to Stratio while maintaining smooth operational workflows and ongoing data analysis.

This instructor-led live training, offered in Copenhagen (either online or onsite), is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals aiming to master data management within industry-specific cloud environments.

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

• Understand the foundational principles and components of data fabrics.
• Design and implement effective data integration and orchestration solutions.
• Maintain high standards of data quality and governance within industry cloud platforms.
• Utilize data fabrics to drive industry-specific analysis and informed decision-making.
• Stay abreast of emerging trends and technological advancements in cloud data management.

This live, instructor-led training is available in Copenhagen (online or onsite). It is designed for IT professionals at the beginner to intermediate stage who are seeking to build the knowledge and practical abilities needed to effectively prepare data for analysis, thereby ensuring accuracy, consistency, and reliability across diverse datasets.

By the end of the course, participants will be equipped to:

• Develop a deep comprehension of how critical data preparation is for maintaining high-quality, reliable inputs for analytics and modeling.
• Build practical proficiency in data gathering, cleansing, transformation, and integration using real-world examples.
• Hone the capability to spot and resolve data-related issues, such as discrepancies and inconsistencies, with confidence.

This live, instructor-led training in Copenhagen (online or onsite) is tailored for IT professionals at a beginner to intermediate level who seek to develop comprehensive knowledge and practical expertise in understanding, implementing, and utilising data catalogs within an organisational context.

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

• Implement and manage data catalogs efficiently within an organisation.
• Leverage data catalogs to support effective data governance and compliance efforts.
• Develop robust skills in data discovery and search using data catalogs.
• Integrate data catalogs with existing systems for seamless operational flow.

This live, instructor-led training, available Copenhagen either online or onsite, caters to intermediate IT professionals aiming to master the configuration, management, and troubleshooting of NetApp ONTAP clusters.

Upon completion, participants will be equipped to:

• Install and configure NetApp ONTAP clusters.
• Administer storage resources and network configurations.
• Deploy security frameworks and access control policies.
• Monitor performance and resolve issues within ONTAP cluster environments.

Training Objectives

• Acquiring practical knowledge on performing Inspector tasks
• Gaining practical understanding of auditing and risk assessment
• Receiving practical knowledge about new rules for personal data processing

This instructor-led, live training in Copenhagen (online or onsite) is tailored for intermediate to advanced compliance officers, legal teams, and data protection professionals aiming to ensure their organization’s SAR processes are 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 session, delivered in Copenhagen (either online or onsite), is tailored for intermediate to advanced IT professionals and business leaders seeking a structured methodology for data breach management.

Upon completion, participants will be equipped to:

• Grasp the underlying causes and severe consequences of data breaches.
• Formulate and execute strategic data breach prevention measures.
• Create incident response plans capable of containing and mitigating breaches effectively.
• Perform forensic investigations to evaluate the full impact of an incident.
• Ensure adherence to legal and regulatory obligations regarding breach notifications.
• Recover from breaches and reinforce overall security postures.

This instructor-led, live training in Copenhagen (available online or on-site) is designed for participants at beginner to intermediate levels. It aims to clarify how to effectively use Data Cloud for managing and analyzing data, connecting various data sources, and enhancing data workflows.

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

This live, instructor-led training in Copenhagen (online or onsite) is designed for intermediate IT professionals seeking to configure and manage data protection mechanisms using NetApp ONTAP technologies.

By the end of the session, participants will be able to:

• Understand the architecture and key concepts of ONTAP data protection.
• Manage Snapshot copies for swift data recovery.
• Implement and monitor SnapMirror for data replication.
• Utilize SnapVault and other ONTAP features for backup and archiving strategies.

This live, instructor-led training in Copenhagen (delivered online or onsite) targets system administrators and developers seeking to implement, deploy, and oversee Oracle GoldenGate for data transformation.

By the end of the session, learners will be capable of:

• Installing and configuring Oracle GoldenGate.
• Understanding how Oracle GoldenGate facilitates database replication.
• Grasping the architectural components of Oracle GoldenGate.
• Executing database replication and migration configurations.
• Optimizing performance and troubleshooting Oracle GoldenGate issues.

Training Objectives

• Equipping participants with a structured and comprehensive understanding of personal data protection mechanisms under Polish and European legislation
• Delivering practical insight into the updated regulations governing personal data processing
• Highlighting key areas of legal risk associated with the enforcement of the GDPR
• Preparing candidates to independently assume the responsibilities of a Data Protection Officer

This instructor-led, live training delivered in Copenhagen (online or onsite) is designed for beginner to intermediate-level data analysts seeking to refine their skills in managing and enhancing data quality using Talend Data Stewardship.

Upon completion, participants will be able to:

• Develop a thorough understanding of how data stewardship supports the maintenance of data quality.
• Leverage Talend Data Stewardship to handle data quality tasks.
• Create, assign, and oversee tasks within the platform, including customizing workflows.
• Utilize built-in reporting and monitoring tools to track data quality and stewardship initiatives.

This live, instructor-led training, delivered in Copenhagen (online or on-site), targets business analysts aiming to acquire advanced Spotfire Analyst skills for data analysis.

By the conclusion of this program, participants will have the ability to:

• Share visual insights among different team members.
• Implement secure access controls based on user roles.
• Generate visualizations, such as map charts.
• Integrate statistical languages like R with Spotfire.

This instructor-led live training, delivered in Copenhagen (online or onsite), targets computer engineers, data analysts, and project managers aiming to design, manage, and evaluate organizational data systems.

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

• Design data systems that align with an organization's specific requirements.
• Assess data assets to create an efficient data processing system.
• Implement risk mitigation techniques to establish a strong enterprise data architecture.

This instructor-led live training, delivered either online or onsite, is tailored for enterprise leaders looking to deepen their understanding of data sovereignty and develop robust, compliant data management strategies.

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

In this live, instructor-led training held in Copenhagen, participants will learn how to build a Data Vault.

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

• Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
• Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
• Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
• Build and deploy highly scalable and repeatable warehouses.

This instructor-led live training, conducted in Copenhagen either online or onsite, is designed for developers aiming to deploy a Master Data Management solution using EBX5 (TIBCO EBX) within their organization.

By the end of the training, participants will be capable of:

• Analyze requirements and design an effective MDM solution.
• Facilitate the management and integration of master data.
• Streamline data integration and transfer across multiple systems.
• Import data into EBX5 utilizing advanced match and merge logic.
• Design, develop, and document a data model aligned with the organization's business needs.
• Integrate EBX5 with third-party services.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The curriculum covers an introduction to data processing and analysis, KNIME installation and configuration, workflow construction, and the methodology for creating business models and data modeling. The course also addresses 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, and Neo4j. The conclusion covers reporting, as well as integration with BIRT and KNIME WebPortal.

This instructor-led, live training in Copenhagen (online or onsite) is designed for engineers aiming to use Pimcore to manage product, customer, vendor, and related data across various domains.

By the end of this training, participants will be capable of:

• Consolidating complex master data across heterogeneous systems.
• Configuring complex multi-domain data models from multiple sources and formats.
• Modeling, storing, and managing data hierarchy and structure within an organization.
• Cleansing, matching, verifying, and standardizing master data.
• Integrating PIM data with digital asset management (DAM), content management (CMS), and user experience / customer experience design (UX / CX).

This live, instructor-led training in Copenhagen (delivered online or on-site) is tailored for data professionals at beginner, intermediate, and advanced levels seeking to utilize Microsoft Purview to elevate their data governance and compliance operations.

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

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

Snowflake is a cloud-native data platform offering robust capabilities for processing and analyzing vast datasets. As a Software-as-a-Service (SaaS) solution, it merges the agility and scalability of the cloud with the power of advanced data warehousing. Core features include:

Cloud-Native Architecture: Built for the cloud, Snowflake is engineered for flexibility and high performance, enabling effortless scaling of both storage and processing resources.

Decoupled Storage and Compute: A distinctive architectural trait allows for the independent scaling and optimization of storage and compute workloads.

Diverse Data Support: The platform accommodates a wide range of data types, including structured, semi-structured (e.g., JSON, XML), and unstructured formats.

High Performance and Query Efficiency: Features rapid query execution and automatic optimization, facilitating efficient analysis of large-scale datasets.

Security and Access Control: Delivers enterprise-grade security, encompassing data encryption, role-based access control, and comprehensive auditing.

Seamless Integration: Easily connects with leading ETL, BI, and data analytics tools to build holistic analytical solutions.

Cost Agility and Scalability: An on-demand pricing model ensures cost efficiency by charging only for the resources actually utilized.

Application Versatility: Ideal for diverse use cases, ranging from standard BI analytics to advanced big data processing, machine learning, and beyond.

Snowflake is widely adopted by organizations of all scales due to its flexibility, high performance, user-friendliness, and adaptability to evolving business and technology requirements.

This training course equips participants with a pragmatic, business-oriented perspective on the design, construction, deployment, and management of modern data products within corporate environments. The programme examines the entire data product lifecycle, ranging from spotting business opportunities and engineering scalable architectures to establishing dependable pipelines, integrating analytics and AI capabilities, and packaging solutions for end consumers. Attendees will explore contemporary data ecosystems, cloud-native architectures, data engineering best practices, governance frameworks, and emerging trends defining the future of data-centric organisations. By merging strategic insight with technical execution concepts, the course enables participants to bridge the divide between business requirements and modern data infrastructure.

Designed for system administrators, data scientists, and business analysts, this live, instructor-led training—delivered either online or onsite—focuses on setting up Talend Administration Center to effectively deploy and manage organizational roles and tasks.

By the conclusion of this course, participants will be able to:

• Install and configure Talend Administration Center.
• Comprehend and put into practice essential Talend management concepts.
• Create, launch, and operate business projects or tasks within the Talend ecosystem.
• Monitor dataset security and formulate business routines using the TAC framework.
• Gain a wider perspective on the application of big data technologies.

This instructor-led live training in Copenhagen (online or onsite) is designed for technical individuals seeking to implement Talend Open Studio for Big Data. The program aims to simplify the complex process of reading and processing 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 live, instructor-led training conducted in Copenhagen, participants will learn how to use Talend Open Studio for ESB to create, connect, mediate, and manage services and their interactions.

Upon completion, participants will be equipped to:

• Integrate, enhance, and deliver ESB technologies as unified packages across diverse deployment environments.
• Understand and utilize the most frequently used components within Talend Open Studio.
• Integrate any application, database, API, or Web service.
• Seamlessly connect heterogeneous systems and applications.
• Embed existing Java code libraries to extend project capabilities.
• Leverage community components and code to enhance projects.
• Rapidly integrate systems, applications, and data sources within the drag-and-drop Eclipse environment.
• Reduce development time and maintenance costs by generating optimized, reusable code.