This HTML5 document contains 37 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

Prefix	IRI
dct	http://purl.org/dc/terms/
dbo	http://dbpedia.org/ontology/
foaf	http://xmlns.com/foaf/0.1/
dbt	http://dbpedia.org/resource/Template:
rdfs	http://www.w3.org/2000/01/rdf-schema#
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
owl	http://www.w3.org/2002/07/owl#
n8	http://en.wikipedia.org/wiki/
dbc	http://dbpedia.org/resource/Category:
prov	http://www.w3.org/ns/prov#
dbp	http://dbpedia.org/property/
xsdh	http://www.w3.org/2001/XMLSchema#
dbr	http://dbpedia.org/resource/

Statements

Subject Item

dbr:Data_mesh

rdf:type

owl:Thing

rdfs:label

Data mesh

rdfs:comment

Data mesh is an organizational and architectural paradigm for managing big data that originated in 2019. It is a process and architectural approach that delegates responsibility for specific data sets to members of a business that have the subject matter expertise to know what the data is supposed to represent and how it should be used. The name Data Mesh comes from Mesh Networking, as this new model is also based on a decentralized architecture and proposes to move beyond a monolithic Data Lake. With Data Mesh, instead of assuming that data will reside in a data lake, each area of business is responsible for choosing how to host and serve the datasets that they own.

owl:differentFrom

dbr:Data_masking

dbp:wikiPageUsesTemplate

dbt:Distinguish

dct:subject

dbc:Business_intelligence dbc:Databases

prov:wasDerivedFrom

n8:Data_mesh?oldid=1074685276&ns=0

dbo:wikiPageID

69909339

dbo:wikiPageLength

7236

dbo:wikiPageRevisionID

1074685276

dbo:wikiPageWikiLink

dbr:Data_lake dbr:Dataflow dbr:Data_fabric dbr:Raw_data dbr:Federated_architecture dbr:Data_cleansing dbr:Business_intelligence dbc:Business_intelligence dbr:Mesh_networking dbr:Data_governance dbr:Extract,_load,_transform dbr:Service-level_agreement dbr:Extract,_transform,_load dbr:Data_management dbr:Thoughtworks dbr:Big_data dbr:Microservices dbr:Data_mining dbr:Data_warehouse dbr:Metadata_standard dbr:Data_format_management dbr:Non-functional_requirement dbc:Databases dbr:Software_architecture

dbo:abstract

Data mesh is an organizational and architectural paradigm for managing big data that originated in 2019. It is a process and architectural approach that delegates responsibility for specific data sets to members of a business that have the subject matter expertise to know what the data is supposed to represent and how it should be used. The name Data Mesh comes from Mesh Networking, as this new model is also based on a decentralized architecture and proposes to move beyond a monolithic Data Lake. With Data Mesh, instead of assuming that data will reside in a data lake, each area of business is responsible for choosing how to host and serve the datasets that they own.

foaf:isPrimaryTopicOf

n8:Data_mesh