Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Organizando dados juŕidicos em grafos
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Andrews Medina
April 14, 2019
Technology
120
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Organizando dados juŕidicos em grafos
Andrews Medina
April 14, 2019
More Decks by Andrews Medina
See All by Andrews Medina
Clean Code - princípios e práticas para um código sustentável
andrewsmedina
0
720
Pytfalls
andrewsmedina
1
220
tsuru para quem sabe tsuru
andrewsmedina
0
110
globo.com s2 python
andrewsmedina
5
400
tsuru and docker
andrewsmedina
6
3.6k
pypy - o interpretador mais rapido do velho oeste
andrewsmedina
0
430
fazendo deploys de forma simples e divertida com tsuru
andrewsmedina
3
160
let's go
andrewsmedina
2
330
TDD for Dummies
andrewsmedina
3
390
Other Decks in Technology
See All in Technology
コンテナ・K8s研修【MIXI 26新卒技術研修】
mixi_engineers
PRO
1
280
AI驚き屋発見器
yama3133
1
330
なぜ、あなたのエージェントは言うことを聞かないのか
segavvy
1
520
AI時代こそ、スケールしないことをしよう -「作る人」から「なぜ作るか」を考える人へ / Do Things That Don't Scale in the AI Era — From How to Why
kaminashi
1
160
「待ち時間」の消滅と「自我消耗」の加速:生成AI時代のエンジニアを救うメンタル・リソース管理
poropinai1966
0
200
AIとハーネスで育てるトランスコンパイラ / 20260722 Yasushi Katayama
shift_evolve
PRO
3
970
2026年のソフトウェア開発を考える(2026/07版) / Agentic Software Engineering 2026-07 Findy Edition
twada
PRO
30
16k
伝票作成AIエージェントを支える、LLMOpsとインフラの選択肢 / AICon2026_takeda
rakus_dev
0
300
データエンジニアこそ組織のオントロジーに向き合うべき — 問いに答えるAIから、事業を動かすAIへ
gappy50
2
410
ここは地獄!つらい朝会を体験することで、チームとしてのより良い振る舞いに気づくワークショップ / The stand-up meeting from hell in the game industry
scrummasudar
0
340
『モデル + ハーネス』で読み解く AIエージェント入門
oracle4engineer
PRO
2
200
AI_Dev_Day_製造業領域でのAI活用から見た活用の罠と成功に導く実践知.pdf
kintotechdev
0
230
Featured
See All Featured
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
1
3.7k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Producing Creativity
orderedlist
PRO
348
40k
How STYLIGHT went responsive
nonsquared
100
6.2k
jQuery: Nuts, Bolts and Bling
dougneiner
66
8.5k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.3k
Designing Experiences People Love
moore
143
24k
HDC tutorial
michielstock
2
750
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.2k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.6k
Transcript
Organizando dados juŕidicos em grafos @andrewsmedina
$ whoami
None
grafos
None
Seven Bridges of Königsberg 1736
Seven Bridges of Königsberg 1736
None
None
None
Graph database?
Dados
O que é um dado? facts and statistics collected together
for reference or analysis.
Como representar dados?
1985
key -> value
key -> value movie -> stallone cobra release_date -> 1985
SET release_date “1985” GET release_date
tables
id movie release_date genero 1 Stallone cobra 1985 1 2
matrix 2000 1 id genero 1 ação
insert into actor (name) values (“sylvester stallone”); select name from
actor;
Graphs
Stallone Cobra Sylvester Stallone Os mercenários
nquad
_:actor <name> “Sylvester Stallone” _:movie <name> “Stallone Cobra” _:movie <release_data>
1985 _:movie <actor> _:actor
queries
gremlin
g.V[[title:'Stallone Cobra']].[[type: ‘Actor’]]
cypher
MATCH (ee:movie)-[:ACTOR]-(actor) WHERE ee.movie = "Stallone Cobra" RETURN ee, actor;
Graphql +-
{ search(func: eq(name: “Stallone Cobra”) { name actor { Name
} } }
Search, column based, genoma, time series, etc.
Quando usar grafos?
Social Graph
Knowledge Graph
Netflix https://www.slideshare.net/RoopaTangirala/polyglot- persistence-netflix-cde-meetup-90955706
Detecção de fraude
None
Rte investigation https://orientdb.com/case-studies/rte-iu/
99 bill https://orientdb.com/case-studies/99bill-fights-fraud-f aster-increasing-detection-20-orientdb/
Recomendação
Recomendação https://markorodriguez.com/2011/09/22/a-graph-bas ed-movie-recommender-engine/
None
http://oracleofbacon.org/
Soluções
None
neo4j • Open source • Multi node apenas para read
only • Suporte • Cypher e Gremlin
None
OrientDB • Open source, mantido pela IBM • Multi schema
model • Shard, multi master • Gremlin e SQL
None
Dgraph • Open source • GraphQL +- • Shard, multi
master
dados jurídicos
Pessoas, processos, tribunais, publicações, documentos...
• Knowledge graph • Recomendação • Detecção de fraude
Obrigado! @andrewsmedina
Temos vagas!
[email protected]
github.com/jusbrasil/careers