This Week in Neo4j – Graph Embeddings, Confluent with Aura, Intro Video, Liquibase, Data Stack Show

Hello, everyone! Don’t miss our free hands-on training sessions (around two hours each day) from June 7 – 11. All folks who register for NODES can attend these sessions (scroll down for details). In this week’s episode, we thank Alberto… Read more →

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This Week in Neo4j: Batch vs. Stream, UX Survey, Kafka Example, Jupyter/Docker for Data Science, Deep Learning

Hello, everyone! We at Neo4j are working to continually improve the UX experience for our users. If you have the time, please consider meeting with us to discuss your experience with our products and what you would like to see… Read more →

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This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning

Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Luc Michalski has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit. Dirk… Read more →

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Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience

Save the date for GraphConnect 2020, April 20-22 in Times Square, New York City, and sign up to receive notifications about upcoming event details.

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Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets

“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read more →

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