• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Apache Drill     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:WikicatDistributedFileSystems, within Data Space : dbpedia.org associated with source document(s)

Type: Thingsoftwareschema:CreativeWorkworkwikidata:Q386724Softwareyago:Abstraction100002137yago:Arrangement105726596yago:ClassificationSystem105727220yago:Code106355894yago:CodingSystem106353757yago:Cognition100023271yago:Communication100033020yago:FileSystem105732614yago:PsychologicalFeature100023100yago:Writing106359877yago:WrittenCommunication106349220yago:Software106566077yago:Structure105726345yago:WikicatDistributedFileSystems New Facet based on Instances of this Class

Apache Drill is an open-source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets. Built chiefly by contributions from developers from MapR, Drill is inspired by Google's Dremel system, also productized as BigQuery. Drill is an Apache top-level project. Tom Shiran is the founder of the Apache Drill Project. It was designated an Apache Software Foundation top-level project in December 2016.