MarkLogic Data Hub Training Course

Data Ethics focuses on the responsible collection, utilization, and decision-making regarding data, ensuring that human rights, privacy, transparency, and fairness are upheld.

This instructor-led, live training (available online or onsite) is designed for public sector professionals who manage or govern data and have limited or no prior training in data ethics. The course aims to help participants 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.

Data Integrity and Availability focuses on ensuring that data remains accurate, complete, consistent, and accessible when required, particularly within high-trust public sector environments.

This instructor-led, live training (available online or onsite) is designed for public sector professionals responsible for managing or protecting data—regardless of their technical background—who want to ensure the reliability, consistency, and availability of critical datasets and systems under their supervision.

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

• Define and distinguish the principles of integrity and availability within the data lifecycle.
• Identify and prevent data corruption, inconsistency, or unauthorized alterations.
• Design data environments that support high availability and business continuity.
• Implement policies and controls that promote long-term data reliability.

Format of the Course

• Interactive lecture and discussion.
• Practical assessment 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.

Data Policies and Standards provide a structured approach to ensuring that government data is created, maintained, accessed, and utilized in a manner that is consistent, secure, and aligned with legal and ethical guidelines.

This instructor-led live training (available online or onsite) is designed for public sector professionals responsible for establishing or applying data policies. It caters to individuals regardless of their technical background who seek to standardize, document, and enforce data practices across various departments or systems.

Upon completion of this training, participants will be able to:

• Define and distinguish between data policies, standards, and procedures.
• Draft and evaluate data governance policies that align with national and international frameworks.
• Promote consistent and high-quality data practices across teams and departments.
• Establish a foundation for compliance, audit readiness, and trustworthy data systems.

Course Format

• Interactive lectures and discussions.
• Hands-on drafting of sample policies and standards.
• Guided evaluation of existing data workflows and controls.

Course Customization Options

• To request customized training tailored to your department's workflows or internal tools, please contact us to make arrangements.

Data Strategy represents the long-term plan for how an organization manages, utilizes, and invests in data to advance its mission, enhance public services, and ensure accountability.

This instructor-led live training (available online or onsite) targets 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 Czech Republic (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.

Achieve mastery of the General Data Protection Regulation (GDPR) through an intensive one-day workshop tailored for managers, department heads, and compliance professionals. The curriculum covers GDPR fundamentals, data subject rights, data protection principles, consent requirements, breach notification duties, and privacy by design. You will gain practical frameworks for implementing GDPR compliance strategies throughout your organization, ensuring lawful data processing and fostering a culture of accountability in data protection.

Designed primarily for auditors and administrative professionals responsible for ensuring their control systems and IT environments comply with current laws and regulations, this course provides a comprehensive understanding of essential GDPR concepts and their impact on auditing practices. Participants will examine the rights of data subjects, the obligations of data controllers and processors, and key enforcement and compliance principles outlined in the Regulation. Additionally, the training incorporates ISACA's audit program, empowering auditors to evaluate GDPR governance and response mechanisms, as well as supporting processes that help mitigate risks associated with non-compliance.

This instructor-led live training in Czech Republic (online or on-site) is aimed at system administrators and developers looking to set up, deploy, and manage Oracle GoldenGate for data transformation.

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

• Install and configure Oracle GoldenGate.
• Understand database replication using Oracle GoldenGate.
• Understand the architecture of Oracle GoldenGate.
• Configure and perform database replication and migration.
• Optimize Oracle GoldenGate performance and troubleshoot problems.

Purpose of the Training

• Familiarizing participants with the comprehensive framework of personal data protection based on Polish and European legislation.
• Imparting practical knowledge regarding the new regulations for processing personal data.
• Identifying key legal risks associated with the implementation of the GDPR.
• Providing practical preparation for independently fulfilling the duties of a Personal Data Protection Officer.

Purpose of the Training

• Gaining practical knowledge on how to perform the tasks of the Data Protection Officer
• Gaining practical knowledge of how to conduct audits and assess risk
• Providing practical knowledge regarding the new rules for the processing of personal data

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 Czech Republic (online or onsite) is designed for system administrators, data scientists, and business analysts who wish to set up Talend Administration Center to deploy and manage organizational roles and tasks.

Upon completion of this training, participants will be able to:

• Install and configure Talend Administration Center.
• Understand and implement the core principles of Talend management.
• Build, deploy, and execute business projects or tasks within Talend.
• Monitor dataset security and develop business routines aligned with the TAC framework.
• Gain a comprehensive understanding of big data applications.

This instructor-led live training in Czech Republic (online or on-site) is aimed at technical professionals who wish to deploy Talend Open Studio for Big Data to simplify the process of reading and analyzing 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 Big Data components and connectors within Open Studio.
• 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.

This instructor-led live training, delivered Czech Republic (online or onsite), is designed for beginner to intermediate data analysts eager to deepen their expertise in managing and enhancing data quality using Talend Data Stewardship.

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

• Comprehend the critical role of data stewardship in upholding data quality.
• Utilize Talend Data Stewardship to manage data quality activities.
• Establish, assign, and control tasks within Talend Data Stewardship, including workflow customization.
• Employ the tool's reporting and monitoring functions to oversee data quality and stewardship outcomes.

In this instructor-led live training in Czech Republic, participants will learn how to utilize Talend Open Studio for ESB to create, connect, mediate, and manage services and their interactions.

Upon completion of this training, participants will be able to

• Integrate, enhance, and deliver ESB technologies as single packages across various deployment environments.
• Understand and effectively use the most frequently utilized components of Talend Open Studio.
• Integrate any application, database, API, or web service.
• Seamlessly integrate heterogeneous systems and applications.
• Embed existing Java code libraries to extend project capabilities.
• Leverage community-contributed 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.