#rdfdatabase 搜尋結果
The new GraphDB 8.6 now supports the mapping of #LDAP users and groups to the internal roles. LDAP allows centralised user management in addition to the existing internal user database: buff.ly/2yRH3dx #SPARQL #RDFDatabase #GraphDB #RDFTriplestore #MetadataManagement
Telling Stories with an RDF Database #RDFDatabase #SemanticMetadata goo.gl/pJh1e3
In the newest version of In GraphDB 8.6, the cluster implements application level security to guarantee a safe operation in non-trusted networks of all supported topologies. All details here buff.ly/2yRH3dx #SPARQL #RDFDatabase #GraphDB #RDFTriplestore #MetadataManagement
GraphDB 8.6 is out now. The focus is security hardening of all database endpoints and the better integration of the security model preventing potential configuration errors. All details -> buff.ly/2yRH3dx #SPARQL #GraphDB #RDFDatabase #RDFTriplestore #MetadataManagement
Combining a highly scalable & robust #RDFdatabase w/ @metaphacts' metaphactory’s powerful capabilities for #semanticmodeling, intuitive search & #dataexploration are already game-changers for data curators & library visitors. hubs.la/Q01VqZv50 #knowledgegraphs #graphdb
What do you use to make updates in your #RDFdatabase? @OntotextGraphDB is integrated w/ Kafka to reduce the amount of code needed for raw event #datatransformation, thus contributing to the automation of #knowledgegraph updates. hubs.la/Q01Wt_RY0 #datamanagement #graphdb
ontotext.com
Ingesting Data in GraphDB Using the Kafka Sink Connector
How to integrate the Kafka Sink Connector with GraphDB, enabling efficient data transfer from Kafka to GraphDB.
What do you use to make updates in your #RDFdatabase? @OntotextGraphDB is integrated w/ Kafka to reduce the amount of code needed for raw event #datatransformation, thus contributing to the automation of #knowledgegraph updates. hubs.la/Q01Wt_RY0 #datamanagement #graphdb
ontotext.com
Ingesting Data in GraphDB Using the Kafka Sink Connector
How to integrate the Kafka Sink Connector with GraphDB, enabling efficient data transfer from Kafka to GraphDB.
Combining a highly scalable & robust #RDFdatabase w/ @metaphacts' metaphactory’s powerful capabilities for #semanticmodeling, intuitive search & #dataexploration are already game-changers for data curators & library visitors. hubs.la/Q01VqQJj0 #knowledgegraphs #graphdb
What do you use to make updates in your #RDFdatabase? @OntotextGraphDB is integrated w/ Kafka to reduce the amount of code needed for raw event #datatransformation, thus contributing to the automation of #knowledgegraph updates. hubs.la/Q01Y8Bpz0 #datamanagement #graphdb
Combining a highly scalable & robust #RDFdatabase w/ @metaphacts' metaphactory’s powerful capabilities for #semanticmodeling, intuitive search & #dataexploration are already game-changers for data curators & library visitors. hubs.la/Q01VqZv50 #knowledgegraphs #graphdb
Telling Stories with an RDF Database #RDFDatabase #SemanticMetadata goo.gl/pJh1e3
Telling Stories with an RDF Database #RDFDatabase #SemanticMetadata goo.gl/pJh1e3
In the newest version of In GraphDB 8.6, the cluster implements application level security to guarantee a safe operation in non-trusted networks of all supported topologies. Read about all features in details here: buff.ly/2yRH3dx #SPARQL #RDFDatabase #MetadataManagement
The new GraphDB 8.6 now supports the mapping of #LDAP users and groups to the internal roles. LDAP allows centralised user management in addition to the existing internal user database: buff.ly/2yRH3dx #SPARQL #RDFDatabase #GraphDB #RDFTriplestore #MetadataManagement
In the newest version of In GraphDB 8.6, the cluster implements application level security to guarantee a safe operation in non-trusted networks of all supported topologies. All details here buff.ly/2yRH3dx #SPARQL #RDFDatabase #GraphDB #RDFTriplestore #MetadataManagement
GraphDB 8.6 is out now. The focus is security hardening of all database endpoints and the better integration of the security model preventing potential configuration errors. All details -> buff.ly/2yRH3dx #SPARQL #GraphDB #RDFDatabase #RDFTriplestore #MetadataManagement
The new GraphDB 8.6 now supports the mapping of #LDAP users and groups to the internal roles. LDAP allows centralised user management in addition to the existing internal user database: buff.ly/2yRH3dx #SPARQL #RDFDatabase #GraphDB #RDFTriplestore #MetadataManagement
In the newest version of In GraphDB 8.6, the cluster implements application level security to guarantee a safe operation in non-trusted networks of all supported topologies. All details here buff.ly/2yRH3dx #SPARQL #RDFDatabase #GraphDB #RDFTriplestore #MetadataManagement
GraphDB 8.6 is out now. The focus is security hardening of all database endpoints and the better integration of the security model preventing potential configuration errors. All details -> buff.ly/2yRH3dx #SPARQL #GraphDB #RDFDatabase #RDFTriplestore #MetadataManagement
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