Data Management Training in Helsinki

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.

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 Helsinki (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 Helsinki (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 is the process of systematically controlling the creation, distribution, use, and preservation of information throughout its lifecycle.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in records management who handle or oversee organizational information and wish to implement compliant, efficient, and sustainable records retention and archiving systems.

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

• Understand legal and regulatory obligations for records retention in government agencies.
• Establish records classification systems aligned with operational needs and compliance requirements.
• Apply lifecycle management practices to ensure proper archiving and disposal of records.
• Introduce 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 is the long-term plan for how an organization will manage, use, and invest in data to drive its mission, improve public services, and ensure accountability.

This instructor-led, live training (online or onsite) is aimed at 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.

Data Protection Impact Assessment (DPIA) is a mandatory risk assessment process under GDPR and other data protection laws, aimed at identifying and mitigating risks to individuals' personal data in high-risk processing activities.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to understand and conduct DPIAs to ensure data privacy compliance and mitigate risks in data processing projects.

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

• Understand the legal and regulatory context of DPIAs.
• Determine when a DPIA is required and how to scope it effectively.
• Conduct a full DPIA lifecycle from initiation to documentation and review.
• Integrate DPIA practices into broader data governance frameworks.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation using real-world scenarios.

Course Customization Options

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

This instructor-led, live training in Helsinki (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.

Data Policies and Standards is the structured approach to ensuring that government data is created, maintained, accessed, and used in ways that are consistent, secure, and aligned with legal and ethical guidelines.

This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for setting or applying data policies—regardless of technical background—who wish to standardize, document, and enforce data practices across departments or systems.

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

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

Format of the Course

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

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.

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 Helsinki (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 Helsinki (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.

Pentaho Data Integration is a data extraction, transformation, and loading platform.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to enhance their PDI skills for more complex transformation scenarios.

Upon completing this training, participants will be able to:

• Design multi-step transformations with improved performance.
• Work with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems.
• Apply best practices for maintainable and scalable ETL pipelines.

Format of the Course

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

Course Customization Options

• If you need a tailored version of this course, please contact us to customize it.

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 Helsinki (online or onsite) is aimed at intermediate-level to advanced-level compliance officers, legal teams, and data protection professionals who wish to ensure their organization’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 Helsinki (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 instructor-led, live training in Helsinki (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to understand how to use Data Cloud for managing and analyzing data, integrating various 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 is the field concerned with responsible data collection, usage, and decision-making in ways that uphold human rights, privacy, transparency, and fairness.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or no prior training in data ethics who manage or govern data and wish to 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 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 Helsinki (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 Helsinki (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

Purpose of the Training

• Acquainting the audience with systematized, comprehensive issues of the functioning of personal data protection on the basis of Polish and European law
• Providing practical knowledge about the new rules for the processing of personal data
• Presentation of the areas of the greatest legal risks in connection with the entry into force of the GDPR
• Practical preparation for independent performance of the duties of a Personal Data Protection Officer

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 Helsinki (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 Helsinki (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.

This instructor-led, live training in Helsinki (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.

In this instructor-led, live training in Helsinki, 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 in Helsinki (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.

Master the General Data Protection Regulation essentials in an intensive one-day workshop designed for managers, department heads, and compliance staff. Covers GDPR foundations, data subject rights, data protection principles, consent requirements, breach notification obligations, and privacy by design. Provides practical frameworks for implementing GDPR compliance strategies across your organization, ensuring lawful data processing and building a culture of accountability in data protection.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The program covers data processing and analysis introduction, KNIME installation and configuration, building workflows, business model creation methodology, and data modeling. The course also discusses 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, Neo4j. The conclusion includes a discussion on reporting, BIRT integration, and the KNIME WebPortal.

This instructor-led, live training in Helsinki (online or onsite) is aimed at engineers who wish to use Pimcore to manage product, customer, vendor, etc. 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 Helsinki (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 introduces the team to SnowFlake. Snowflake is a fully relational ANSI SQL data warehouse so you can leverage the skills and tools your organization already uses. Updates, deletes, analytical functions, transactions and complex joins give you the full capabilities you need to make the most of your data.

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 Helsinki (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 Helsinki (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 Helsinki, 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.