For over half a century organizations have assumed that data is an asset to collect more of, and data must be centralized to be useful. These assumptions have led to centralized and monolithic architectures such as data warehousing and data lake, and neither of which have been able to enable data-driven innovations at scale.
In this talk, Zhamak will unpack the challenges of existing paradigms of big data management.
She introduces Data Mesh as an alternative approach to analytical data management.
An approach that shifts the data culture, technology and architecture
- from collecting data to connecting data
- from data as an asset to data as a product
- from proprietary big platforms to protocols, and
- from top-down manual data governance to a federated computation one.
She will explore the relationship between a Data Mesh implementation and emergence of a knowledge graph, and will leave you with a call to action to continue the exploration.