The One-Day Strategic Seminar for Decision-Makers
In one day, decode modern data architectures and learn to make informed technology choices to support your business strategy. From ETL to Data Mesh, this seminar offers a panoramic and strategic vision of the solutions that automate your value chains.
Led by industry expert Jerome Capirossi, an expert in enterprise architecture and data management, this intensive day is designed to give you the keys to dialogue with experts, evaluate market solutions, and align your technology ecosystem with your business ambitions.
Target Audience
This strategic seminar is particularly aimed at:
- Chief Information Officers (CIOs) and Chief Data Officers (CDOs).
- Enterprise Architects and IT Managers.
- Business decision-makers and managers involved in digital transformation.
- Project managers leading large-scale data initiatives.
Dates, formats and prix
| October 2025 Virtual 1 day 9 AM to 5:30 PM October 10th Price – 800 € HT | November 2025 On-site 1 day 9 AM to 5h30 PM November 14th Prix – 1 000 € HT |
For company specific seminars, the registration fee covers training costs, breakfasts, lunches, and coffee breaks.
Registration
Registration form: form
For specific needs, such as an internal company seminar, For on-site seminars, the registration fee covers training costs, breakfasts, lunches, and coffee breaks. Please contact contact[@]unexx.eu
Prerequisites
A good understanding of the challenges of digital transformation and the basic principles of data management is recommended to get the most out of this day.
Benefits of Attending
By the end of this seminar, participants will be able to:
- Understand and differentiate the major data architecture models (Data Warehouse, Data Lake, Data Fabric, Data Mesh).
- Identify key technologies for integration (ETL, API), master data management (MDM), and quality (DQM).
- Grasp the strategic implications of security and new regulations (GDPR, AI Act) on architectural choices.
- Obtain a reference framework to evaluate solutions and align technology strategy with business objectives.
Agenda
Morning Session: The Fundamental Building Blocks of Data Architecture
- Session 1: Managing Data in Motion and its Quality
- Data Integration: A strategic comparison of ETL, ESB, and API Management approaches to circulate information.
- Master Data Management (MDM): The central role of MDM in unifying key data (customer, product) and ensuring its quality at the source.
- Data Quality Management (DQM): Positioning DQM solutions to control and correct data in operational and BI flows.
- Session 2: Architectures for Valorization and Business Intelligence
- Data Warehouse vs. Data Lake: Understanding the role of each, from traditional BI to massive data exploration.
- Big Data Architectures: An introduction to the concepts of Lambda and Kappa architectures for combining historical and real-time data.
- Data Engineering: The transition from the Data Lab to an industrialized production line for AI.
Afternoon Session: From Architecture to Enterprise Strategy
- Session 3: Strategic Architectural Models
- Data Centric & Data Hub: Organizing the company around shared data.
- Data Fabric: Unifying data access in a hybrid and multi-cloud environment.
- Data Mesh: A decentralized, product-oriented approach (“Data as a Product”) for large organizations.
- Data Driven: The capabilities required to become a data-driven company.
- Session 4: Integrating Security and Compliance by Design
- Cybersecurity: Principles of classifying and protecting data “at rest” and “in motion.”
- Impact of Regulations: Understanding the requirements of GDPR, DMA/DSA, and the future AI Act on your system design.
- Conclusion: How to choose and govern your architecture to combine agility, performance, and resilience.
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