#graphdbs search results
It’s a start! Memgraph will be presenting an introduction to in-memory graph databases at 11am in room 2. #graphdaysf #graphdb #graphdbs
Next up - Catching up with the @TigergraphDB team w @GMDesh, Lui and Pasha on what is happening in #GraphDBs for #NextGenApps w @Dheschen and @TanyaCarlsson
"Cypher, the declarative query language for #graphdbs, is so important that we cannot keep it to ourselves." says @prathle at the #neo4j #graphtour in Paris. #opencypher ftw !
Optimizing #algorithms on large scale labeled property graphs. Comparing optimization approaches, directly querying #graphdatabase. Aim: determine limiting factors of #GraphDBs. Speedup of a factor between 44 & 3839 #knowledgegraph #research #EmergingTech arxiv.org/abs/2002.03686
Tracking #COVID19 Spread with #GraphDBs. In the midst of a global pandemic, #bigdata #tech like graph databases demonstrate a remarkable capability to model complex interactions among groups of people & places #EmergingTech #dataviz #data #analytics datanami.com/2020/03/12/tra…
RT rvanbruggen: "Cypher, the declarative query language for #graphdbs, is so important that we cannot keep it to ourselves." says prathle at the #neo4j #graphtour in Paris. #opencypher ftw !
Building an Enterprise-grade graph database to support the next generation of intelligent applications by @fluffymaccoy #MachineLearning #graphDBs #realtime #scale buff.ly/2G6gIfg
Why #GraphDBs are set to power the next-gen of #bigdata analytics ow.ly/9QlS303pfHN @neo4j @DataStax @graphdb
Fantastic to be 'meeting up' face to face again and talking #neo4j #graphdbs. Great story on #knowledgegraphs from our partner DotDash. #meetup @CronosGroep
When @neo4j is away, @arangodb will play. Battle of the #graphdbs in London @GOTOldn #gotoLondon (cc #graphconnectSF @GraphConnect)
Meet one of the fastest growing #graphdbs. @toddblaschka from @TigerGraphDB will share how to Scale up business value with real-time operational graph #analytics buff.ly/2z9vTha #pharma #finserv #PropertyGraph
.@opencitations & its datasets, tools, services, activities: #DataModel; @sparontologies (Semantic Publishing & Referencing) #ontologies; open software for searching, browsing and providing REST APIs over RDF #graphDBs; and more #OpenScience #OA arxiv.org/abs/1906.11964
AllegroGraph 6.5 adds support for JSON & JSON-LD, joining the ranks of RDF #graphdatabases to do so. JSON-LD is the most widely used RDF format, and a potential point of convergence / standardization for #graphDBs #W3CGraphWorkshop allegrograph.com/press_room/all…
Optimizing #algorithms on large scale labeled property graphs. Comparing optimization approaches, directly querying #graphdatabase. Aim: determine limiting factors of #GraphDBs. Speedup of a factor between 44 & 3839 #knowledgegraph #research #EmergingTech arxiv.org/abs/2002.03686
Tracking #COVID19 Spread with #GraphDBs. In the midst of a global pandemic, #bigdata #tech like graph databases demonstrate a remarkable capability to model complex interactions among groups of people & places #EmergingTech #dataviz #data #analytics datanami.com/2020/03/12/tra…
Unlike traditional DBs, #GraphDBs deliver unmatched flexibility, efficiency, & scalability. They also lay the foundation for #KnowledgeGraphs that uncover hidden insights and drive smarter decisions. 🚀 Learn more: galileox.ai/why-graphs/ #GraphDatabases #GalileoXAI
The holiday season challenges transportation: millions on the move, infrastructure under pressure, and the need for seamless journeys. With #GraphDBs, we can #Reorganize travel flows, #Identify bottlenecks, and #Optimize routes. 🎄 Need help making #Christmas smoother? Reach out!
🚀Friday! Time to relax and enjoy the content created by the community! Bonus - register for the next @nyjavasig event with @JMHReif - #LLMs and #graphDbs at the @JavaAtMicrosoft office in #NY wp.me/pbb1in-HP/ #learningNeverStops ft: @MarcoBehler,@TheDonRaab,@1ovthafew
graciano.dev
Weekend Reading List #247
Welcome to the weekend reading list, edition #247 NYJavaSIG On October 22nd, Jennifer Reif will present Hallucination-free AI zone: LLMs + Graph DBs + Java! Registrations are open at javasig.com. F…
Graph databases: because who doesn't love trying to make sense of tangled webs of data for fun? 🙃 #TechJokes #BigData #GraphDBs
✨A #NebulaGraph webinar replay📷 @wey_gu shared the basics of graph stores, and how they can be used in RAG with @llama_index , followed by Q&As, such as how #GraphDBs are compared with #VectorDBs, and how they can be further exploited for RAG systems.
✨Last call for the #Thanksgiving quiz!📢 Back from the holiday and look for something fun? 🦃🔎Take this quiz to test your #Graph & #NebulaGraph knowledge. The Graph Pioneer badge is ready for you!🎊 👉forms.gle/59mEPWkRk9v98J…
✨A #NebulaGraph webinar replay📷 @wey_gu shared the basics of graph stores, and how they can be used in RAG with @llama_index , followed by Q&As, such as how #GraphDBs are compared with #VectorDBs, and how they can be further exploited for RAG systems.
✨A #NebulaGraph webinar replay✨ @wey_gu shared the basics of graph stores, and how they can be used in RAG with @llama_index, followed by Q&As, such as how #GraphDBs are compared with #VectorDBs, and how they can be further exploited for RAG systems. 📽️shorturl.at/wP279
✨A #NebulaGraph webinar replay✨ @wey_gu shared the basics of graph stores, and how they can be used in RAG with @llama_index, followed by Q&As, such as how #GraphDBs are compared with #VectorDBs, and how they can be further exploited for RAG systems. 📽️shorturl.at/wP279
📊 Understanding #DataLineage is a breeze with #GraphDBs. They present data relationships more efficiently, making operations simpler and faster than relational DBs. #BigData #memgraph #database #memgraphdb #graphdatabase memgraph.com/blog/join-the-…
📊 Understanding #DataLineage is a breeze with #GraphDBs. They present data relationships more efficiently, making operations simpler and faster than relational DBs. #BigData #memgraph #database #memgraphdb #graphdatabase memgraph.com/blog/join-the-…
📊 Understanding #DataLineage is a breeze with #GraphDBs. They present data relationships more efficiently, making operations simpler and faster than relational DBs. #BigData #memgraph #database #memgraphdb #graphdatabase memgraph.com/blog/join-the-…
📊 Understanding #DataLineage is a breeze with #GraphDBs. They present data relationships more efficiently, making operations simpler and faster than relational DBs. #BigData #memgraph #database #memgraphdb #graphdatabase memgraph.com/blog/join-the-…
Announcing the release of ExRam.Gremlinq 11.2.5! ExRam.Gremlinq is the first #dotnet object-graph-mapper for @apachetinkerpop #gremlin enabled #graphdbs like @AzureCosmosDB, @dotnetonAWS Neptune or @JanusGraph. github.com/ExRam/ExRam.Gr…
github.com
Release ExRam.Gremlinq 11.2.5 · Gremlinq/ExRam.Gremlinq
Changes No changes
📊 Understanding #DataLineage is a breeze with #GraphDBs. They present data relationships more efficiently, making operations simpler and faster than relational DBs. #BigData #memgraph #database #memgraphdb #graphdatabase memgraph.com/blog/join-the-…
@KeyLines and NexLP discussing techniques for detecting fraud with #graphDBs with @prathle at #GraphConnect Chicago
It’s a start! Memgraph will be presenting an introduction to in-memory graph databases at 11am in room 2. #graphdaysf #graphdb #graphdbs
Another key argument for #RDF #graphDBs: Nine out of ten of the most value-creating companies in the world are using #knowledgegraphs. That's $ trillions in #marketcap. The #marymeeker Top 20 Internet companies are using #knowledgegraphs. Why? Essential to #datacentric biz.
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Building an Enterprise-grade graph database to support the next generation of intelligent applications by @fluffymaccoy #MachineLearning #graphDBs #realtime #scale buff.ly/2G6gIfg
When @neo4j is away, @arangodb will play. Battle of the #graphdbs in London @GOTOldn #gotoLondon (cc #graphconnectSF @GraphConnect)
Why #GraphDBs are set to power the next-gen of #bigdata analytics ow.ly/9QlS303pfHN @neo4j @DataStax @graphdb
Graph Databases for Beginners: Other Graph Technologies - DZone Database bit.ly/2QIoyAT #databases #graphdbs
"Cypher, the declarative query language for #graphdbs, is so important that we cannot keep it to ourselves." says @prathle at the #neo4j #graphtour in Paris. #opencypher ftw !
Optimizing #algorithms on large scale labeled property graphs. Comparing optimization approaches, directly querying #graphdatabase. Aim: determine limiting factors of #GraphDBs. Speedup of a factor between 44 & 3839 #knowledgegraph #research #EmergingTech arxiv.org/abs/2002.03686
@toddblaschka from @TigerGraphDB about to share how to Scale up business value with real-time operational graph #analytics #graphdbs. Educational track, 11:10 #connecteddata buff.ly/2zxJ2kw
If you don't know about #GraphDBs you must not be in my class! Here are a few links: Cash Influx 105M: Hear from their CEO: Cool Vendor: Forrester Wave: Jobs:
TigerGraph is growing! See all open positions here: hubs.li/H0H9BR00 | #GraphAnalytics #GraphDB #Hiring #BayAreaJobs #Careers #SoftwareEngineer #Sales #EngineeringJobs #TechnologyJobs #SFJobs #SalesEngineer
Next up - Catching up with the @TigergraphDB team w @GMDesh, Lui and Pasha on what is happening in #GraphDBs for #NextGenApps w @Dheschen and @TanyaCarlsson
RT rvanbruggen: "Cypher, the declarative query language for #graphdbs, is so important that we cannot keep it to ourselves." says prathle at the #neo4j #graphtour in Paris. #opencypher ftw !
Fantastic to be 'meeting up' face to face again and talking #neo4j #graphdbs. Great story on #knowledgegraphs from our partner DotDash. #meetup @CronosGroep
Meet one of the fastest growing #graphdbs. @toddblaschka from @TigerGraphDB will share how to Scale up business value with real-time operational graph #analytics buff.ly/2z9vTha #pharma #finserv #PropertyGraph
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