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This week in Neo4j - 11th August 2018

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This week we have releases of APOC and the Neo4j JDBC Driver, a paper explaining how to derive socially useful information from public blockchains, a refresh of the Neo4j ETL guide, and more!

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This week in Neo4j - 11th August 2018

  1. 1. This Week in Neo4j 11th August 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: Michael Graham Learn more about Michael
  5. 5. In this blog post, Jennifer Reif describes different use cases where a graph database may or may not make sense. If you’re wondering whether to use Neo4j for your next project, this post will help you make your decision. How Do You Know If a Graph Database Solves the Problem? To graph or not to graph?
  6. 6. Jennifer has also done a complete refresh of the Neo4j ETL guide. In this guide Jennifer explains how to get up and running with the Neo4j ETL Tool, and then takes us through a guided tour of the tool while importing data from a Postgres database. Neo4j ETL Guide Refresh Read the guide
  7. 7. Neo4j JDBC Driver version 3.4.0 was released. This version contains support for the spatial and temporal data types introduced in Neo4j 3.4. It also has full clustering and routing support. Read the release notes Release #1: Neo4j JDBC Driver
  8. 8. Release #2: APOC This week we also had the summer release of APOC. This version added support for reverse geocoding in apoc.spatial, base 64 URL encoding and decoding, new apoc.diff user functions, and much more. Read the release notes
  9. 9. Dan McGinn has published a paper titled Towards open data blockchain analytics: a Bitcoin perspective in which he describes how to use Neo4j to derive socially useful information from public blockchains. Blockchain Analytics with Neo4j Read the paper
  10. 10. In his latest blog post, Thomas Frisendal shows how to build a graph data model directly from meta data stored in XML files. The Emergence of ”Metadata Science”? Using Graph Technology for Data Modeling Read the blog post
  11. 11. If you liked this check out the blog post This Week in Neo4j - 11th August 2018

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