This Week in Neo4j: Neo4j Streams, Event Processing, Py2Neo, News as Knowledge Graphs

Neo4j Streams has been released with several new features, including dynamic configuration that allows for on-the-fly changes to Kafka config without restarting the database. Dirk Fahland is working on a project to transform event logs into a knowledge graph using Neo4j Streams and has published templates for translating CSV log files into events. Rick Van Bruggen used Neo4j with APOC to aggregate data from news articles as a knowledge graph, while Anurag Tandon presented a demo of Neo4j Bloom at NODES 2020. Py2Neo has been released with several highlights, including full support for routing and stability improvements for multithreaded usage. Madison Gipson shares how to pass parameters into Cypher code using Py2Neo, and Matthias Sieber is the featured community member who has made significant contributions to Neo4j development and beyond.