• 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#ldpoplwebrel-me-authskos-transurn:det:rdf:labelurn:kidehen:glossary:inference:rulesurn:owl:inference:rules:testsvirtpivot-rulesvirtrdf-eturtle-containersvirtrdf-hashtagvirtrdf-ifpvirtrdf-labelvirtrdf-meta-entity-classvirtrdf-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: Must-know: 'Big Data' gave way to the arrival of NoSQL and Hadoop     Goto   Sponge   NotDistinct   Permalink

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'Big data' includes structured and unstructured data. Structured data is relatively easy to analyze. Unstructured data that includes voice, video, email, and documents are usually difficult and expensive to analyze. Relational databases, with their limitations in handling 'Big Data,' aren’t much help either. As a result, 'Big Data” is sometimes considered to be the data that can’t be analyzed in a traditional database.