Understanding Graph Technologies

In this half-day virtual workshop Thomas Frisendal will showcase what and how graph technologies imply from practical perspectives and which tools are available. He will also demonstrate how graph solutions are different as well as how traditional databases and graphs are complementary to each other. The combination of the two is really powerful, and, fortunately, relatively easy to implement.

Concept Modelling for Business Analysts [English spoken]

Concept Modelling (or Conceptual Data Modelling) has seen an amazing resurgence of popularity in recent years, and Alec Sharp illustrates the many reasons for this along with practical techniques and guidelines to ensure useful models and business engagement.

Knowledge Graphs – New Perspectives on Analytics

Ever since Google announced its Knowledge Graph solution in 2012 the paradigm has found its way into many real-world use cases, mostly in the analytics space. This presentation will cover what a Knowledge Graph is, how it is different and yet complementary and will look at vendors, products and standards.

Data Observability – What is it and why is it important?

This session by internationally acclaimed analyst Mike Ferguson looks at the emergence of Data Observability and looks at what it is about, what Data Observability can observe, vendors in the market and examples of what vendors are capturing about data.

Data Lakehouse: Marketing Hype or New Architecture? (English spoken)

This session discusses all aspects of data warehouses and data lakes, including data quality, data governance, auditability, performance, historic data, and data integration, to determine if the data lakehouse is a marketing hype or whether this is really a valuable and realistic new data architecture.

Building an Enterprise Data Marketplace

This session looks at what a data marketplace is, how to build one and how you can use it to govern data sharing across the enterprise and beyond. It also looks at what is needed to operate a data marketplace and the trend to become a marketplace for both data and analytical products.

A Data Strategy for Becoming Data Driven

Becoming data driven will not be achieved by acquiring new technologies and tools alone. This seminar by Nigel Turner will outline the practical steps needed to produce an achievable data strategy and plan, and how to ensure that it becomes a living and agile blueprint for digital change.

Data Mesh & Fabric: The Data Quality Dependency

This session will briefly recap the main concepts and practices of Data Mesh and Data Fabric and consider their implications for Data Quality Management. Will the Mesh and Fabric make Data Quality easier or harder to get right? As a foundational data discipline how should Data Quality principles and practices evolve and adapt to meet the needs of these new trends? What new approaches and practices may be needed? What are the implications for Data Quality practitioners and other data management professionals working in other data disciplines such as Data Governance, Business Intelligence and Data Warehousing?