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Inhoud geleverd door Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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NODES 2023 Preview With Spring Expert Mark Heckler
MP3•Thuis aflevering
Manage episode 376194088 series 2896282
Inhoud geleverd door Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
- Spring Boot: Up and Running by Mark Heckler: https://bit.ly/springbootbook
- NODES 2023: https://neo4j.com/nodes-2023
- Building an Educational Chatbot for GraphAcademy with Neo4j Using LLMs and Vector Search: https://medium.com/neo4j/building-an-educational-chatbot-for-graphacademy-with-neo4j-f707c4ce311b
- Livestream: Going Meta Ep 20
- Build a Chatbot for Clinical Trials across Multiple Data Sources: https://medium.com/star-gazers/build-a-chatbot-for-clinical-trials-across-multiple-data-sources-f121211cec98
- GraphAcademy course - Introduction to Neo4j and GraphQL: https://graphacademy.neo4j.com/courses/graphql-basics
- London Data GraphQL (Sep 7)
- GraphQL Conf (Sep 19)
- Creating a Custom Connector in Confluent Cloud to Sink Data to Aura for Real-Time Analysis (Part 2): https://neo4j.com/developer-blog/confluent-cloud-neo4j-auradb-connector-2/
- Build a Movie Database with Neo4j’s Knowledge Graph Sandbox: https://thenewstack.io/build-a-movie-database-with-neo4js-knowledge-graph-sandbox/
- Knowledge Graph from text using LLM: https://www.youtube.com/watch?v=Hg4ahTQlBm0
- SDN custom queries/projections: https://www.javacodegeeks.com/2023/08/java-application-with-neo4j-how-to-use-spring-custom-queries-and-projections.html
- Neo4j Live - Movie Recommendations: https://youtube.com/live/wndOSi3i5OY
- Understanding HashGNN in GDS: https://www.youtube.com/watch?v=fccFuyjNEcM
- Google Datacloud Demo: https://www.youtube.com/watch?v=9dAnPoFV80c
- Neo4j Metadata management of NoSQL sources: https://www.youtube.com/watch?v=ZExin7j8ysE
- Road to NODES training:
- Interactive Dashboarding with NeoDash (Sep 20)
- Graphing Relational Database Models (Sep 27)
- Meetup (virtual/in-person, Austin, TX): Airplane Route Optimization using Neo4j (Sep 13)
- Meetup (Singapore): Intersection of Graph Databases and AI (Sep 20)
- Meetup (Australia): Graph Database Melbourne (Sep 21)
- Meetup (Australia): Exploring the Intersection of Graph Data Science and AI (Sep 28)
- Pycon India (Sep 28 - 30): https://in.pycon.org/2023/
- Conference: PyData Amsterdam (Sep 13)
- Conference: Big Data London (Sep 19)
- Conference: Big Data Paris (Sep 25)
- Conference (Germany): JUG Saxony Day 2023 Dogfooding the Graph Ecosystem (Sep 28)
36 afleveringen
MP3•Thuis aflevering
Manage episode 376194088 series 2896282
Inhoud geleverd door Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
- Spring Boot: Up and Running by Mark Heckler: https://bit.ly/springbootbook
- NODES 2023: https://neo4j.com/nodes-2023
- Building an Educational Chatbot for GraphAcademy with Neo4j Using LLMs and Vector Search: https://medium.com/neo4j/building-an-educational-chatbot-for-graphacademy-with-neo4j-f707c4ce311b
- Livestream: Going Meta Ep 20
- Build a Chatbot for Clinical Trials across Multiple Data Sources: https://medium.com/star-gazers/build-a-chatbot-for-clinical-trials-across-multiple-data-sources-f121211cec98
- GraphAcademy course - Introduction to Neo4j and GraphQL: https://graphacademy.neo4j.com/courses/graphql-basics
- London Data GraphQL (Sep 7)
- GraphQL Conf (Sep 19)
- Creating a Custom Connector in Confluent Cloud to Sink Data to Aura for Real-Time Analysis (Part 2): https://neo4j.com/developer-blog/confluent-cloud-neo4j-auradb-connector-2/
- Build a Movie Database with Neo4j’s Knowledge Graph Sandbox: https://thenewstack.io/build-a-movie-database-with-neo4js-knowledge-graph-sandbox/
- Knowledge Graph from text using LLM: https://www.youtube.com/watch?v=Hg4ahTQlBm0
- SDN custom queries/projections: https://www.javacodegeeks.com/2023/08/java-application-with-neo4j-how-to-use-spring-custom-queries-and-projections.html
- Neo4j Live - Movie Recommendations: https://youtube.com/live/wndOSi3i5OY
- Understanding HashGNN in GDS: https://www.youtube.com/watch?v=fccFuyjNEcM
- Google Datacloud Demo: https://www.youtube.com/watch?v=9dAnPoFV80c
- Neo4j Metadata management of NoSQL sources: https://www.youtube.com/watch?v=ZExin7j8ysE
- Road to NODES training:
- Interactive Dashboarding with NeoDash (Sep 20)
- Graphing Relational Database Models (Sep 27)
- Meetup (virtual/in-person, Austin, TX): Airplane Route Optimization using Neo4j (Sep 13)
- Meetup (Singapore): Intersection of Graph Databases and AI (Sep 20)
- Meetup (Australia): Graph Database Melbourne (Sep 21)
- Meetup (Australia): Exploring the Intersection of Graph Data Science and AI (Sep 28)
- Pycon India (Sep 28 - 30): https://in.pycon.org/2023/
- Conference: PyData Amsterdam (Sep 13)
- Conference: Big Data London (Sep 19)
- Conference: Big Data Paris (Sep 25)
- Conference (Germany): JUG Saxony Day 2023 Dogfooding the Graph Ecosystem (Sep 28)
36 afleveringen
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