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Your guide to Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019 | AWS Database Blog
Your guide to Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019 | AWS Database Blog
AWS re:Invent 2019 is less than two weeks away. This post includes a complete list of Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019. Use the information on this page to help schedule your week in Las Vegas and accelerate your knowledge of Amazon Neptune. Sessions, Workshops, and Chalk Talks ADM203 – Reimagining advertising analytics & identity […]
·aws.amazon.com·
Your guide to Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019 | AWS Database Blog
Your own Wikidata Query Service, with no limits (part 1)
Your own Wikidata Query Service, with no limits (part 1)
16” (16 vCPUs, 104 GB memory) virtual machine on the Google Cloud Platform with 3 local SSDs held together with RAID 0. This should provide us with enough fast storage to store the raw TTL data, munged TTL files
#KnowledgeGraph
·addshore.com·
Your own Wikidata Query Service, with no limits (part 1)
“Aspen is a simple markup language for creating graph data.” Quoted tweet from @mesirii: Just came across Aspen by Matt Cloyd Really cool syntax for expressing graphs and transformation to #Neo4j Cypher aspen-lang.org thanks @mdavidallen
“Aspen is a simple markup language for creating graph data.” Quoted tweet from @mesirii: Just came across Aspen by Matt Cloyd Really cool syntax for expressing graphs and transformation to #Neo4j Cypher aspen-lang.org thanks @mdavidallen
“Aspen is a simple markup language for creating graph data.”
#GraphAnalytics
·twitter.com·
“Aspen is a simple markup language for creating graph data.” Quoted tweet from @mesirii: Just came across Aspen by Matt Cloyd Really cool syntax for expressing graphs and transformation to #Neo4j Cypher aspen-lang.org thanks @mdavidallen
“Data is the raw material for Industry 4.0 and a prerequisite for optimizing production with the help of artificial intelligence. At OMP, we are developing a semantic model that makes data understandable and illustrates its relations and dependencies." --
“Data is the raw material for Industry 4.0 and a prerequisite for optimizing production with the help of artificial intelligence. At OMP, we are developing a semantic model that makes data understandable and illustrates its relations and dependencies." --
Michael Bolle of Bosch.
#GraphAnalytics
·twitter.com·
“Data is the raw material for Industry 4.0 and a prerequisite for optimizing production with the help of artificial intelligence. At OMP, we are developing a semantic model that makes data understandable and illustrates its relations and dependencies." --