The transformational impact of Data Mesh is potentially big, but many organizations have found it difficult to implement the approach. In this talk, Ron Tolido, CTO of Capgemini’s global insights & data business, dives into the Data Mesh rabbit hole.

In this session Alec Sharp will introduce methods to get people engaged in concept modelling, practice with guidelines to ensure proper naming and definition of entities/concepts/business objects and illustrate the many ways concept models (conceptual data models) support business process change and business analysis.

In this session Mike Ferguson looks at different architectures that recent were offered by many different vendors claiming to be ‘the modern data architecture solution’ for the data-driven enterprise, with support for open table formats such as Apache Iceberg, Apache Hudi and Delta Lake. In addition, we have seen significant new milestones in extending the ISO SQL Standard to support new kinds of analytics in general purpose SQL. He will discuss the impact of this on analytical data platforms and what it means for customers.

In this 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.

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.