In deze bijdrage door Jan Veldsink gaan we ons richten op datacentriciteit, de data in het midden plaatsen en er meerdere analyses/rapporten en applicaties van maken.

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.

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.

In deze sessie door Rick van der Lans worden verschillende aspecten van datawarehouses en datalakes besproken om te bepalen of de datalakehouse een marketinghype is of dat dit echt een waardevolle en realistische nieuwe data-architectuur is.

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.

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?