The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and TinkerPop which provides graph traversal capabilities.
This document discusses exactly once semantics in Apache Kafka 0.11. It provides an overview of how Kafka achieved exactly once delivery between producers and consumers. Key points include:
- Kafka 0.11 introduced exactly once semantics with changes to support transactions and deduplication.
- Producers can write in a transactional fashion and receive acknowledgments of committed writes from brokers.
- Brokers store commit markers to track the progress of transactions and ensure no data loss during failures.
- Consumers can read from brokers in a transactional mode and receive data only from committed transactions, guaranteeing no duplication of records.
- This allows reliable message delivery semantics between producers and consumers with Kafka acting as
This slides explain about scanning picture feature points that is made by SIFT(Scale Invariant Feature Transform) which uses Gaussian Filter Difference Logic (DoG).
Silicon Valley x 日本 / Tech x Business Meetup #12 (2015/04/17)
『並列分散処理基盤Hadoopの紹介と、開発者が語るHadoopの使いどころ』
NTTデータ 基盤システム事業本部
システム方式技術事業部 OSSプロフェッショナルサービス
鯵坂 明
SQL Server 使いのための Azure Synapse Analytics - Spark 入門Daiyu Hatakeyama
Japan SQL Server Users Group - 第35回 SQL Server 2019勉強会 - Azure Synapese Analytics - SQL Pool 入門 のセッション資料です。
Spark の位置づけ。Synapse の中での入門編の使い方。そして、Synapse ならではの価値について触れてます。
The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and TinkerPop which provides graph traversal capabilities.
This document discusses exactly once semantics in Apache Kafka 0.11. It provides an overview of how Kafka achieved exactly once delivery between producers and consumers. Key points include:
- Kafka 0.11 introduced exactly once semantics with changes to support transactions and deduplication.
- Producers can write in a transactional fashion and receive acknowledgments of committed writes from brokers.
- Brokers store commit markers to track the progress of transactions and ensure no data loss during failures.
- Consumers can read from brokers in a transactional mode and receive data only from committed transactions, guaranteeing no duplication of records.
- This allows reliable message delivery semantics between producers and consumers with Kafka acting as
This slides explain about scanning picture feature points that is made by SIFT(Scale Invariant Feature Transform) which uses Gaussian Filter Difference Logic (DoG).
Silicon Valley x 日本 / Tech x Business Meetup #12 (2015/04/17)
『並列分散処理基盤Hadoopの紹介と、開発者が語るHadoopの使いどころ』
NTTデータ 基盤システム事業本部
システム方式技術事業部 OSSプロフェッショナルサービス
鯵坂 明
SQL Server 使いのための Azure Synapse Analytics - Spark 入門Daiyu Hatakeyama
Japan SQL Server Users Group - 第35回 SQL Server 2019勉強会 - Azure Synapese Analytics - SQL Pool 入門 のセッション資料です。
Spark の位置づけ。Synapse の中での入門編の使い方。そして、Synapse ならではの価値について触れてます。
1. オ ー プ ン デ ー タ
な ん か で よ く 使 う
Tu r t l e 形 式 な ん だ け ど
X M L と 違 っ て ど う 便 利 な の ?
@ S M A G C H
2. h t t p : // w w w. w 3 . o r g / T R / v o c a b - d c a t / # e x a m p l e
:catalog
a dcat:Catalog ;
dct:title "Imaginary Catalog" ;
rdfs:label "Imaginary Catalog" ;
foaf:homepage <http://example.org/catalog> ;
dct:publisher :transparency-office ;
dct:language <http://id.loc.gov/vocabulary/iso639-1/en> ;
dcat:dataset :dataset-001 , :dataset-002 , :dataset-003 ;
.
5. h t t p : // e n . w i k i p e d i a . o r g / w i k i / R e s o u r c e _ D e s c r i p t i o n _ Fr a m e w o r k
@prefix eric: <http://www.w3.org/People/EM/contact#> .
@prefix contact: <http://www.w3.org/2000/10/swap/pim/contact#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
eric:me contact:fullName "Eric Miller" .
eric:me contact:mailbox <mailto:e.miller123(at)example> .
eric:me contact:personalTitle "Dr." .
eric:me rdf:type contact:Person .
<?xml version="1.0" encoding="utf-8"?>
<rdf:RDF xmlns:contact="http://www.w3.org/2000/10/swap/pim/contact#" xmlns:eric="http://www.w3.org/
People/EM/contact#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about="http://www.w3.org/People/EM/contact#me">
<contact:fullName>Eric Miller</contact:fullName>
</rdf:Description>
<rdf:Description rdf:about="http://www.w3.org/People/EM/contact#me">
<contact:mailbox rdf:resource="mailto:e.miller123(at)example"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.w3.org/People/EM/contact#me">
<contact:personalTitle>Dr.</contact:personalTitle>
</rdf:Description>
<rdf:Description rdf:about="http://www.w3.org/People/EM/contact#me">
<rdf:type rdf:resource="http://www.w3.org/2000/10/swap/pim/contact#Person"/>
</rdf:Description>
</rdf:RDF>
7. E X A M P L E 1
@base <http://example.org/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix rel: <http://www.perceive.net/schemas/relationship/> .
!
<#green-goblin>
rel:enemyOf <#spiderman> ;
a foaf:Person ; # in the context of the Marvel universe
foaf:name "Green Goblin" .
!
<#spiderman>
rel:enemyOf <#green-goblin> ;
a foaf:Person ;
foaf:name "Spiderman", "Человек-паук"@ru .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 2 _ s e c - i n t r o
8. <http://example.org/#spiderman>
<http://www.perceive.net/schemas/relationship/enemyOf>
<http://example.org/#green-goblin> ;
<http://xmlns.com/foaf/0.1/name>
"Spiderman" .
<http://example.org/#spiderman>
<http://www.perceive.net/schemas/relationship/enemyOf>
<http://example.org/#green-goblin> .
!
<http://example.org/#spiderman>
<http://xmlns.com/foaf/0.1/name>
"Spiderman" .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ p r e d i c a t e - l i s t s
E X A M P L E 3
E X A M P L E 4
Predicate Lists
9. <http://example.org/#spiderman>
<http://xmlns.com/foaf/0.1/name>
"Spiderman", "Человек-паук"@ru .
<http://example.org/#spiderman>
<http://xmlns.com/foaf/0.1/name> "Spiderman" .
<http://example.org/#spiderman>
<http://xmlns.com/foaf/0.1/name> "Человек-паук"@ru .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ o b j e c t - l i s t s
E X A M P L E 5
E X A M P L E 6
Object Lists
10. @prefix somePrefix: <http://www.perceive.net/schemas/relationship/> .
!
<http://example.org/#green-goblin> somePrefix:enemyOf
<http://example.org/#spiderman> .
PREFIX somePrefix: <http://www.perceive.net/schemas/relationship/>
!
<http://example.org/#green-goblin> somePrefix:enemyOf
<http://example.org/#spiderman> .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ s e c - i r i
E X A M P L E 7
E X A M P L E 8
IRIs
@prefixと@baseは case sensitive
後からサポートされたSPARQLシンタックス。PREFIX, BASEは case insensitive。終わりのドットなし
11. # A triple with all absolute IRIs
<http://one.example/subject1> <http://one.example/predicate1> <http://one.example/object1> .
!
@base <http://one.example/> .
<subject2> <predicate2> <object2> . # relative IRIs, e.g. http://one.example/subject2
!
BASE <http://one.example/>
<subject2> <predicate2> <object2> . # relative IRIs, e.g. http://one.example/subject2
!
@prefix p: <http://two.example/> .
p:subject3 p:predicate3 p:object3 . # prefixed name, e.g. http://two.example/subject3
!
PREFIX p: <http://two.example/>
p:subject3 p:predicate3 p:object3 . # prefixed name, e.g. http://two.example/subject3
!
@prefix p: <path/> . # prefix p: now stands for http://one.example/path/
p:subject4 p:predicate4 p:object4 . # prefixed name, e.g. http://one.example/path/subject4
!
@prefix : <http://another.example/> . # empty prefix
:subject5 :predicate5 :object5 . # prefixed name, e.g. http://another.example/subject5
!
:subject6 a :subject7 . # same as :subject6 <http://www.w3.org/1999/02/22-rdf-syntax-
ns#type> :subject7 .
!
<http://伝言.example/?user=&أكرمamp;channel=R%26D> a :subject8 . # a multi-script subject IRI .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ s e c - i r i
E X A M P L E 9
12. @prefix foaf: <http://xmlns.com/foaf/0.1/> .
!
<http://example.org/#green-goblin> foaf:name "Green Goblin" .
!
<http://example.org/#spiderman> foaf:name "Spiderman" .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ l i t e r a l s
E X A M P L E 1 0
Literals
13. @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix show: <http://example.org/vocab/show/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
!
show:218 rdfs:label "That Seventies Show"^^xsd:string .
show:218 rdfs:label "That Seventies Show"^^<http://www.w3.org/2001/XMLSchema#string> .
show:218 rdfs:label "That Seventies Show" .
show:218 show:localName "That Seventies Show"@en .
show:218 show:localName 'Cette Série des Années Soixante-dix'@fr .
show:218 show:localName "Cette Série des Années Septante"@fr-be .
show:218 show:blurb '''This is a multi-line
literal with many quotes (""""")
and up to two sequential apostrophes ('').''' .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 4 _ t u r t l e - l i t e r a l s
E X A M P L E 1 1
Quoted Literals
14. @prefix : <http://example.org/elements> .
<http://en.wikipedia.org/wiki/Helium>
:atomicNumber 2 ; # xsd:integer
:atomicMass 4.002602 ; # xsd:decimal
:specificGravity 1.663E-4 . # xsd:double
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 4 _ a b b r e v
E X A M P L E 1 2
Numbers & Booleans
@prefix : <http://example.org/stats> .
<http://somecountry.example/census2007>
:isLandlocked false . # xsd:boolean
E X A M P L E 1 3
15. @prefix foaf: <http://xmlns.com/foaf/0.1/> .
!
_:alice foaf:knows _:bob .
_:bob foaf:knows _:alice .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ B N o d e s
E X A M P L E 1 4
Blank Nodes
16. @prefix foaf: <http://xmlns.com/foaf/0.1/> .
!
# Someone knows someone else, who has the name "Bob".
[] foaf:knows [ foaf:name "Bob" ] .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ u n l a b e l e d - b n o d e s
E X A M P L E 1 5
Nesting Unlabeled Blank Nodes
17. @prefix foaf: <http://xmlns.com/foaf/0.1/> .
!
[ foaf:name "Alice" ] foaf:knows [
foaf:name "Bob" ;
foaf:knows [
foaf:name "Eve" ] ;
foaf:mbox <bob@example.com> ] .
E X A M P L E 1 6
_:a <http://xmlns.com/foaf/0.1/name> "Alice" .
_:a <http://xmlns.com/foaf/0.1/knows> _:b .
_:b <http://xmlns.com/foaf/0.1/name> "Bob" .
_:b <http://xmlns.com/foaf/0.1/knows> _:c .
_:c <http://xmlns.com/foaf/0.1/name> "Eve" .
_:b <http://xmlns.com/foaf/0.1/mbox> <bob@example.com> .
E X A M P L E 1 7
18. @prefix : <http://example.org/foo> .
# the object of this triple is the RDF collection blank node
:subject :predicate ( :a :b :c ) .
!
# an empty collection value - rdf:nil
:subject :predicate2 () .
h t t p : // w w w. w 3 . o r g / T R / t u r t l e / # h 3 _ c o l l e c t i o n s
E X A M P L E 1 8
Collections
20. Dublin Core
h t t p : // d u b l i n c o r e . o r g / d o c u m e n t s / 2 0 1 2 / 0 6 / 1 4 / d c m i - t e r m s /
!
!
@prefix dc: <http://purl.org/dc/elements/1.1/> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix dctype: <http://purl.org/dc/dcmitype/> .
汎用的に使えるのが多くて便利
21. The Friend of a Friend (FOAF)
h t t p : // w w w. f o a f - p r o j e c t . o r g /
!
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
人間を記述するのに便利
22. RDF Schema
h t t p : // w w w. w 3 . o r g / T R / r d f - s c h e m a /
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
RDFの拡張で、
基本的なデータモデルの記述に便利。
ローレベルな感じ。
23. RDF Syntax
h t t p : // w w w. w 3 . o r g / T R / r d f - s y n t a x - g r a m m a r /
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
XML記述でなくTurtleだと、
あんまり使わないかも。
rdf:object, rdf:type, rdf:value rdf:first
rdf:rest, rdf:nil
24. Data Catalog Vocabulary (DCAT)
h t t p : // w w w. w 3 . o r g / T R / v o c a b - d c a t /
@prefix dcat: <http://www.w3.org/ns/dcat#> .
データカタログのためのVocabulary
複数のデータを、
まとめて扱う時に便利
25. YAN Place Vocabulary
h t t p : // f p . y a f j p . o r g / y o k o h a m a _ a r t _ l o d / e v e n t _ r d f
YAN Event Vocabulary
ヨコハマ・LODのオリジナル語彙
h t t p : // f p . y a f j p . o r g / y o k o h a m a _ a r t _ l o d / p l a c e _ r d f