Data Warehousing & Business Intelligence Summit

Data and AI Governance

Herdefiniëren van Data Governance in deze tijden van AI.

Democratisering van Data: Het Kwadrantenmodel in Actie

Met de snelle ontwikkelingen in data-democratisering en AI wordt het integreren van privacy by design in de architectuur essentieel. Het moet niet langer worden gezien als een hindernis, maar eerder als een katalysator voor deze vooruitgang. Het kwadrantenmodel van Damhof biedt hierbij een leidraad.

Mixed Source Data Engineering & Analytics: a best of both worlds approach

This session will highlight the strategic choices made at Erasmus Data Collaboratory consisting of a mix of open source and proprietary solutions, both on-premise and in the cloud, and guided by modern software engineering principles.

Data Mesh Light – getting there, step by step, avoiding the Mess

Ron Tolido, CTO of Capgemini’s global insights & data business, dives into the Data Mesh rabbit hole.

Knowledge Graphs – pragmatische aanpak en best practices [English spoken]

This seminar explores the strategic implementation of Knowledge Graph initiatives within organizations, offering a comprehensive framework that blends cutting-edge techniques with real-world case studies. It equips participants with the crucial understanding needed to make informed decisions, optimize initiatives, and unlock the transformative potential of Knowledge Graphs in today’s data-driven landscape.

Data Products – From Design, to Build, to Publishing and Consumption [English spoken]

This half-day workshop looks at the development of data products in detail. It also looks at the strengths and weaknesses of data mesh implementation options for data product development. Which architecture is best to implement this? How do you co-ordinate multiple domain-oriented teams and use common data infrastructure software like Data Fabric to create high-quality, compliant, reusable, data products in a Data Mesh. Is there a methodology for creating data products? Also, how can you use a data marketplace to share and govern the sharing of data products?

Concept Modelling and The Data-Process Connection

Alec Sharp illustrates the many ways concept models (conceptual data models) support business process change and business analysis.

Data Architecture Evolution and the Impact on Analytics

In 2023, key changes have emerged including much broader support for open table formats such as Apache Iceberg, Apache Hudi and Delta Lake in many other vendor data platforms. In addition, we have seen significant new milestones in extending the ISO SQL Standard to support new kinds of analytics in general purpose SQL. Also, AI has also advanced to work across any type of data.

The key question is what does this all mean for data management? What is the impact of this on analytical data platforms and what does it mean for customers? This session looks at this evolution and helps customers realise the potential of what’s now possible and how they can exploit it for competitive advantage.

Generative AI in Data Management and Analytics – A New Era of Assistance, Productivity and Automation

In this keynote session, Mike Ferguson, Europe’s leading IT industry analyst on Data Management and Analytics, looks at the impact generative AI is having on Data Management, BI and Data Science and what it can do to help shorten time to value.

Connecting Meaning: The promise and challenges of Knowledge Graphs as providers of large-scale data semantics

In this talk, we will delve deeper into the significance of knowledge graphs as facilitators of large-scale data semantics. The discussion will encompass the core concepts, challenges, and strategic considerations that architects and decision-makers encounter while initiating and implementing knowledge graph projects.