Data Administration Training in Almada

This instructor-led, live training in Almada (online or onsite) is designed for beginner-level data analysts who wish to utilize Stratio Data Fabric for data mining, database exploitation, and advanced analytical projects.

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

• Develop a thorough understanding of Stratio Data Fabric’s components, architecture, and core 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 Almada (available 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.

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

• Grasp the fundamental principles and components of data fabrics.
• Design and deploy data integration and orchestration solutions.
• Uphold data quality and governance standards within industry cloud platforms.
• Leverage data fabrics to facilitate industry-specific data analysis and strategic decision-making.
• Remain abreast of emerging trends and technologies in cloud data management.

This instructor-led, live training in Almada (online or on-site) 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.

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

• Gain a thorough understanding of the significance of data preparation 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.

This instructor-led, live training in Almada (online or onsite) is tailored for beginner to intermediate-level IT professionals seeking to gain the in-depth knowledge and practical skills necessary to understand, implement, and utilize data catalogs effectively within organizational contexts.

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

• Implement and manage data catalogs effectively within an organization.
• Use data catalogs to facilitate effective data governance and compliance.
• Develop competencies for effective data discovery and search capabilities via data catalogs.
• Integrate data catalogs with existing data systems for seamless functionality.

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 Almada (online or on-site) is aimed at intermediate-level to advanced-level compliance officers, legal teams, and data protection professionals who wish to ensure their organisation’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 Almada (online or onsite) is designed for intermediate to advanced IT professionals and business leaders seeking to develop a structured approach to managing data breaches.

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

• Comprehend the causes and consequences of data breaches.
• Develop and implement strategies to prevent data breaches.
• Establish an incident response plan to contain and mitigate breaches.
• Conduct forensic investigations and assess the impact of breaches.
• Meet legal and regulatory requirements for breach notification.
• Recover from data breaches and enhance security postures.

This instructor-led, live training in Almada (online or onsite) is designed for participants at beginner to intermediate levels who aim to understand how to utilize Data Cloud for managing and analyzing data, integrating various data sources, and optimizing data workflows.

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

• Grasping the core features and advantages of Data Cloud platforms.
• Setting up and configuring a Data Cloud environment.
• Integrating multiple data sources into a cohesive cloud environment.
• Analyzing data using built-in tools to derive actionable insights.
• Implementing best practices for data security and cloud compliance.

This live, instructor-led training (available online or in-person) is aimed at mid-level data architects, engineers, analysts, and technical leaders who wish to understand, design and implement Data Mesh-based solutions, as well as prepare for specialised certifications in this approach.

Course Objectives

• Introduce participants to the comprehensive framework governing personal data protection under Polish and European law.
• Equip attendees with practical knowledge regarding current regulations for processing personal data.
• Highlight key areas of legal risk associated with the implementation of the GDPR.
• Provide practical training to prepare individuals for independently fulfilling the role of a Personal Data Protection Officer.

This instructor-led live training in Almada (available online or onsite) is designed for beginner to intermediate data analysts who wish to deepen their expertise 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 Almada (online or onsite) is designed for business analysts who wish to acquire advanced Spotfire Analyst skills for data analysis.

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

• Share visualizations with different team members.
• Secure software access through role-based controls.
• Generate visualizations such as map charts.
• Integrate statistical computing languages, including R, with Spotfire.

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

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

• Design data systems tailored to an organization's specific needs.
• Evaluate data assets to develop an efficient data processing system.
• Implement risk mitigation strategies to construct a robust enterprise data architecture.

This instructor-led live training (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.

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 Almada (online or onsite) is designed for technical professionals looking to deploy Talend Open Studio for Big Data to streamline the process of reading and analysing 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 Almada, participants will learn how to use 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 utilise the most commonly used components of Talend Open Studio.
• 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.