Your data mesh is incomplete. It needs a metadata mesh to enable federated search and automated lineage for compliance.
#1about 5 minutes
The challenges of a centralized data lake architecture
ING's initial centralized data lake, which used a common format, struggled with manual ETL processes and scalability issues across a multi-cloud landscape.
#2about 6 minutes
Learning from the flower industry's data logistics
The evolution of the flower industry from a centralized to a decentralized logistics model illustrates how data can move directly while metadata remains coordinated.
#3about 4 minutes
Understanding the data mesh as a concept, not a product
The data mesh offers a powerful decentralized architecture, but its implementation is a significant engineering challenge as no single product exists.
#4about 3 minutes
Building an open source data mesh and metadata mesh
ING collaborates on open source projects like Fabric for the data mesh and identifies the need for a separate metadata mesh to solve interoperability issues.
#5about 5 minutes
Introducing Egeria as an open metadata standard
Egeria is an open source project under the Linux Foundation that provides a standard for exchanging metadata between different vendor tools via a two-layer API.
#6about 3 minutes
Managing an open source contribution team within a bank
ING's dedicated team contributes directly to the Egeria open source project, navigating the challenge of prioritizing a community-driven backlog over internal requests.
#7about 6 minutes
Using Egeria for unified search and regulatory compliance
ING leverages Egeria for unified metadata search and to automate end-to-end data lineage, which is crucial for meeting regulatory requirements like BCBS 239.
#8about 6 minutes
Q&A on data ownership, monetization, and competing tools
The Q&A session covers incentivizing data ownership through monetization, motivating metadata provision, and comparing Egeria's comprehensive model to other industry solutions.
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