Data Management Training in Prague

Microsoft System Center Data Protection Manager (DPM) serves as Microsoft's enterprise-grade backup and recovery solution designed to safeguard critical workloads, including file servers, databases, and virtual machines.

This instructor-led, live training (available online or onsite) targets intermediate-level IT professionals aiming to deploy, configure, and manage DPM to secure data and maintain business continuity.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

• To arrange customized training for this course, please contact us directly.

Flow Monitoring Control Centers serve as essential hubs for observing, managing, and responding to real-time data within utility, infrastructure, and industrial settings. These centers ensure that flow systems—such as those for water, oil, gas, or data—are monitored with precision and controlled effectively to meet operational and regulatory standards.

This instructor-led, live training (available online or onsite) targets intermediate-level operational and supervisory staff responsible for the day-to-day operation and management of flow monitoring control centers. The curriculum covers system usage, alert handling, compliance alignment, and team coordination, all grounded in modern standards and best practices.

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

• Operate and manage flow monitoring control systems in accordance with industry standards.
• Interpret real-time data and respond effectively to alerts and operational deviations.
• Ensure compliance with applicable regulations, certifications, and internal procedures.
• Implement and enhance reporting, escalation, and communication protocols.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

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 Prague (online or on-site) is designed for beginner-level data analysts who wish to apply Stratio Data Fabric in data mining, database exploitation, and advanced analytical projects.

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

• Develop a thorough understanding of Stratio Data Fabric’s components, architecture, and functionalities.
• Design and execute data pipelines using Stratio’s Rocket analytical environment.
• Implement augmented data governance principles within Stratio to ensure compliance, quality control, and security.
• Perform descriptive and prescriptive data analyses using the Intelligence module in Stratio.
• Confidently migrate existing Databricks projects to Stratio while maintaining smooth operational workflows and continuous data analysis.

This instructor-led, live training in Prague (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.

Records Management involves the systematic oversight of information creation, distribution, usage, and preservation throughout its entire lifecycle.

This instructor-led, live training, available online or onsite, is designed for public sector professionals with limited or developing experience in records management. It targets those responsible for handling or supervising organizational information who aim to implement compliant, efficient, and sustainable records retention and archiving systems.

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

• Comprehend the legal and regulatory obligations regarding records retention in government agencies.
• Establish records classification systems that align with operational needs and compliance requirements.
• Apply lifecycle management practices to ensure proper archiving and disposal of records.
• Integrate digital transformation and automation into records processes.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of classification and retention planning tools in public sector case examples.
• Guided exercises focused on records inventory, lifecycle mapping, and compliance strategies.

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 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.

A Data Protection Impact Assessment (DPIA) is a compulsory risk assessment procedure mandated by GDPR and various other data protection regulations. Its primary objective is to identify and mitigate risks associated with processing personal data, particularly in high-risk scenarios.

This live, instructor-led training (available online or onsite) is designed for intermediate-level professionals seeking to master the execution of DPIAs to ensure compliance with data privacy standards and reduce risks within data processing initiatives.

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

• Comprehend the legal and regulatory framework governing DPIAs.
• Identify the necessity for a DPIA and effectively define its scope.
• Manage the entire DPIA lifecycle, from initiation through to documentation and review.
• Embed DPIA practices within broader data governance structures.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation based on real-world scenarios.

Customization Options

• To arrange a tailored version of this course, please contact us.

This instructor-led, live training in Prague (online or onsite) is designed for beginner to intermediate-level IT professionals who wish to acquire the knowledge and practical skills needed to effectively prepare data for analysis, ensuring accuracy, consistency, and reliability across diverse datasets.

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

• Understand the critical importance of data preparation in ensuring high-quality, reliable data for analysis and modeling.
• Gain hands-on proficiency in data collection, cleaning, transformation, and integration techniques using real-world datasets.
• Develop the ability to identify and resolve data-related challenges, discrepancies, and inconsistencies effectively.

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.

Pentaho Data Integration serves as a robust platform for architecting enterprise-grade ETL processes and data pipelines.

This instructor-led training session, available both online and onsite, targets advanced engineers seeking to master the creation of high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completion of this course, participants will be capable of:

• Architecting large-scale ETL pipelines utilizing advanced orchestration techniques.
• Optimizing complex transformations to achieve peak performance.
• Implementing scripting, automation, and hybrid integration patterns.
• Designing robust, maintainable workflows ready for production environments.

Course Format

• Demonstrations and architectural discussions led by experts.
• Extensive laboratory exercises focusing on advanced real-world ETL challenges.
• Hands-on development within a production-like environment.

Customization Options

• Please contact us if you need a customized version of this training program.

Veritas Backup Exec is a comprehensive data protection solution designed for virtual, physical, and cloud environments.

This instructor-led live training (available online or onsite) targets intermediate-level IT infrastructure professionals seeking to configure and manage Veritas Backup Exec to ensure secure, efficient, and effective backup and recovery processes.

Upon completing this training, participants will be able to:

• Grasp the architecture and features of Veritas Backup Exec.
• Install and configure a backup solution using Backup Exec.
• Create and manage backup and restore jobs.
• Develop fundamental backup and recovery strategies.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Prague (online or onsite) targets beginner to intermediate IT professionals who wish to gain in-depth knowledge and practical skills essential for understanding, implementing, and leveraging data catalogs within organizational settings.

By the end of this training, participants will be able 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 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.

This instructor-led, live training in Prague (online or onsite) is tailored for IT professionals with intermediate experience who want to learn how to configure, manage, and troubleshoot NetApp ONTAP clusters.

Upon completing this training, participants will be able to:

• Install and configure NetApp ONTAP clusters.
• Manage storage resources and network configurations.
• Implement security and access control policies.
• Monitor and troubleshoot ONTAP cluster environments.

Pentaho Data Integration serves as a platform for extracting, transforming, and loading data.

This live, instructor-led training (available online or onsite) is designed for intermediate-level professionals looking to deepen their PDI skills to handle more complex transformation scenarios.

Upon completing this course, participants will be capable of:

• Designing multi-step transformations with enhanced performance.
• Utilizing variables, parameters, and reusable components.
• Integrating PDI with databases, APIs, and external systems.
• Implementing best practices for maintainable and scalable ETL pipelines.

Format of the Course

• Interactive demonstrations alongside instructor explanations.
• Guided exercises and scenario-based practice.
• Hands-on work within a real-world ETL project environment.

Course Customization Options

• Should you require a tailored version of this course, please contact us to arrange customization.

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

This guided, live training session in Prague (online or in-person) targets compliance officers, legal counsel, and data protection specialists with intermediate to advanced expertise who seek to guarantee that their organization’s SAR procedures are efficient, compliant, and free from risk.

Upon completing this training, participants will be capable of:

• Comprehending the legal structure that regulates SARs.
• Processing SARs efficiently while upholding compliance standards.
• Recognizing exemptions and restrictions imposed by data protection legislation.
• Navigating complex SAR situations, including those involving third-party data.
• Applying best practices for documenting and responding to SARs.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate to advanced IT professionals and business leaders aiming to develop a structured approach to managing data breaches.

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

• Comprehend the causes and implications of data breaches.
• Design and deploy strategies for preventing data breaches.
• Formulate incident response plans to contain and mitigate breaches.
• Perform forensic investigations and evaluate the extent of breach impacts.
• Adhere to legal and regulatory mandates regarding breach notification.
• Facilitate recovery from data breaches and enhance overall security postures.

This instructor-led, live training in Prague (online or onsite) is designed for participants at beginner to intermediate levels who want to learn how to use Data Cloud for managing and analyzing data, integrating diverse 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 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.

This instructor-led live training (online or in-person) is aimed at mid-level data architects, engineers, analysts, and technical leaders who want 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 Prague (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.

This instructor-led live training in Prague (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.

Pentaho Data Integration serves as an open-source tool for defining jobs and data transformations.

This instructor-led live training enables participants to leverage the robust ETL capabilities and intuitive GUI of Pentaho Data Integration to oversee the entire big data lifecycle and maximize the organizational value of their data.

Upon completing this training, participants will be capable of:

• Creating, previewing, and executing fundamental data transformations that incorporate steps and hops
• Configuring and securing the Pentaho Enterprise Repository
• Consolidating disparate data sources to produce a single, unified, analytics-ready version of truth
• Delivering results to third-party applications for additional processing

Audience

• Data Analysts
• ETL developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

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.

Pimcore is an open-source platform designed for product information management (PIM), digital asset management (DAM), and master data management (MDM).

This instructor-led training session (available online or on-site) targets intermediate-level product managers and technical specialists who want to configure products, integrate with external systems, and manage workflow approvals using Pimcore.

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

• create and configure products with structured attributes and validation rules
• design and customize product views to enhance data presentation and usability
• integrate Pimcore Datahub with Kafka for real-time data exchange
• effectively manage user roles, access rights, workflows, and change history

Course Format

• Interactive lectures and discussions
• Hands-on practice with Pimcore, guided through product and workflow configurations
• Practical exercises focused on real-world product data and integration scenarios

Course Customization Options

• To request a customized training session tailored to your organization’s Pimcore environment or product modeling practices, please contact us to arrange.

This instructor-led live training, delivered Prague (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.

This instructor-led, live training in Prague (online or onsite) is designed for business analysts who want to learn advanced Spotfire Analyst techniques for data analysis.

Upon completing this training, participants will be able to:

• Share visualizations with various team members.
• Secure software access based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages like R with Spotfire.

This instructor-led, live training in Prague (online or onsite) is designed for computer engineers, data analysts, and project managers who wish to design, manage, and evaluate organizational data systems.

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

• Design data systems that align with an organization's specific needs.
• Evaluate data assets to develop an effective data processing system.
• Apply risk mitigation strategies to build a robust enterprise data architecture.

This instructor-led, live training (available online or onsite) is designed for enterprise leaders who want to understand data sovereignty principles and develop strategies for compliant data management.

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

In this instructor-led live training in Prague, participants will learn how to construct a Data Vault.

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

• Grasp the architectural and design principles of Data Vault 2.0, including its integration with Big Data, NoSQL, and AI.
• Apply data vaulting techniques to facilitate auditing, tracing, and inspection of historical data within a data warehouse.
• Establish a consistent and repeatable ETL (Extract, Transform, Load) process.
• Build and deploy highly scalable and repeatable warehouses.

This instructor-led live training in Prague (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.

The PECB Certified Data Protection Officer training course equips you with the essential knowledge and skills, fostering the competence required to effectively perform the duties of a data protection officer within a GDPR compliance initiative.

Why should you attend?

As data protection gains increasing importance, the demand for organizations to safeguard this data continues to grow. Non-compliance with data protection regulations not only infringes upon the fundamental rights and freedoms of individuals but also exposes organizations to significant risks that can damage their credibility, reputation, and financial standing. This is precisely where your expertise as a data protection officer becomes invaluable.

The PECB Certified Data Protection Officer training course is designed to help you acquire the knowledge and skills needed to serve as a Data Protection Officer (DPO), thereby assisting organizations in meeting the requirements of the General Data Protection Regulation (GDPR).

Through practical exercises, you will master the DPO role, becoming proficient in informing, advising, and monitoring GDPR compliance, as well as cooperating with supervisory authorities.

Upon completing the training course, you may sit for the examination. Successful candidates can apply for the “PECB Certified Data Protection Officer” credential. This internationally recognized certificate demonstrates your professional capability and practical knowledge in advising controllers and processors on fulfilling their GDPR compliance obligations.

Who should attend?

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

Learning objectives

• Understand GDPR concepts and interpret its requirements
• Grasp the content and relationship between the General Data Protection Regulation and other regulatory frameworks and applicable standards, such as ISO/IEC 27701 and ISO/IEC 29134
• Gain the competence to perform the DPO role and execute daily tasks within an organization
• Develop the ability to inform, advise, and monitor GDPR compliance, and to cooperate with supervisory authorities

Educational approach

• This training course combines theoretical foundations with best practices for exercising the DPO role.
• Lecture sessions are supported by practical exercises based on case studies, including role-playing and discussions.
• Participants are encouraged to interact, engage in discussions, and take part in exercises.
• Practice exercises and quizzes mirror the format of the certification exam.

General Information

• Participants will receive training course materials comprising over 450 pages of explanatory content and practical examples.
• An Attendance Record worth 31 CPD (Continuing Professional Development) credits will be issued to those who complete the training course.

The 'KNIME Analytics Platform' training offers a comprehensive overview of this free data analysis platform. The program includes an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodology for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The completion section includes reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led, live training in Prague (online or onsite) targets engineers who wish to utilize Pimcore to manage product, customer, vendor, and other 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 Prague (online or onsite) is designed for beginner, intermediate, and advanced data professionals seeking to enhance their data governance and compliance capabilities through Microsoft Purview.

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 provides extensive capabilities for processing and analyzing large datasets. As a Software-as-a-Service (SaaS) solution, it combines the flexibility and scalability of the cloud with the power of an advanced data warehouse. Key features and functions of Snowflake include:

Cloud-Based Architecture: Built natively in the cloud, Snowflake is optimized for flexibility and performance, enabling easy scaling of both data storage and processing resources.

Decoupled Storage and Compute Workloads: Snowflake's unique architecture separates data storage from compute workloads, allowing these two aspects to be scaled and optimized independently.

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

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

Security and Access Management: Snowflake offers robust security features, including data encryption, role-based access control, and comprehensive auditing.

Seamless Integration: The platform integrates effortlessly with popular ETL, BI, and data analysis tools and services, facilitating the creation of comprehensive analytical solutions.

Cost Flexibility and Scalability: A consumption-based pricing model allows for cost optimization by charging only for the resources actually utilized.

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

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

This course provides an introduction to Snowflake, a fully relational ANSI SQL-based data warehouse. It enables you to utilize the skills and tools your organization already employs. Features such as updates, deletes, analytical functions, transactions, and complex joins deliver the comprehensive capabilities required to maximize the value of your data.

This training provides participants with a practical, business-centric understanding of the design, construction, deployment, and management of contemporary data solutions within organizations. The program covers the entire lifecycle of data products, starting from identifying business opportunities and designing scalable architectures to implementing robust pipelines, integrating analytics and AI capabilities, and delivering solutions to end users. Participants will explore modern data ecosystems, cloud-based structures, data engineering best practices, governance frameworks, and emerging trends influencing data-driven enterprises. By combining strategic insights with technical implementation concepts, the course helps bridge the gap between business needs and modern data platforms.

This instructor-led live training in Prague (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 Prague (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.

In this instructor-led live training in Prague, 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.