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This Week in Neo4j - 24th November 2018

This week I had fun with the online meetup on similarity algorithms with Tomaz Bratanic. I came across a great post written by Adrien Sales showing how to analyse PostgreSQL metadata using Neo4j and learned a neat approach to ingesting data into Neo4j using Kafka Streams and GraphQL.

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This Week in Neo4j - 24th November 2018

  1. 1. This Week in Neo4j 24th November 2018
  2. 2. Mark Needham Developer Relations Engineer at Neo4j mark.needham@neo4j.com / devrel@neo4j.com @markhneedham 2
  3. 3. The week's graph database news in one handy slide deck! Find the archive at neo4j.com/tag/twin4j
  4. 4. Featured community member: Pat Patterson Learn more about Pat
  5. 5. This week on the online meetup, Tomaz Bratanic showed us how to use the similarity algorithms recently added to the Neo4j Graph Algorithms library. Neo4j Similarity Algorithms and How to Use Them Watch the video
  6. 6. I enjoyed a blog post written by Lucas Jellema in which he builds session recommendation engine for conferences like the recent Oracle CodeOne conference. Lucas shows how to build such a system using both relational and graph approaches, and compares and contrasts the resulting SQL and Cypher queries. Building a Code One Session Recommendation Engine using Neo4j Read the blog post
  7. 7. Naren Chowdary wrote a blog post showing how to use GraphQL as an ingestion layer for importing data into Neo4j. Naren builds a data pipeline that load an airlines and airports dataset into Kafka Streams, which is then consumed by a Spring Boot powered consumer that sends the data to Neo4j via the GraphQL plugin. Read the blog post GraphQL Based Neo4J Ingestion
  8. 8. In part 4 of Max De Marzi’s series of blog posts about decision trees he shows how to build a decision stream. A decision stream is similar to a decision tree, but it allows nodes to follow a path based on multiple options and may go down more than 1 level. Dynamic Rule Based Decision Trees: Decision Streams Read the blog post
  9. 9. Adrien Sales wrote a really cool blog post in which he shows how to use the graph to analyse the metadata of a PostgreSQL database. Adrien imports system data from PostgreSQL using APOC’s LOAD JDBC procedure, before showing how to write Cypher queries to explore triggers, database objects, and more. Analysing PostgreSQL metadata using Neo4j Read the blog post
  10. 10. If you liked this check out the blog post This Week in Neo4j - 24th November 2018

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