Neo4j Graph Tech Weekly (Edition:8)
This Week in Neo4j: Cypher Queries, IKEA Knowledge Graph, LinkedIn Course, and More
This week we’re featuring a post by biomedical engineer Tom Nijhof-Verhees , who explains how his performance issues were solved by using Cypher query parameters. This allows for the query plan to be cached and reused. An important step along the way was to batch the writes using Cypher’s Unwind feature in order to expand a list, replacing the Python?for?loop in his code.
The biggest graph technology event of the year, NODES 2022, will announce its agenda soon! We are honored to welcome as speakers: Ward Cunningham, the creator of Wiki, Ashleigh Faith, host of IsA DataThing YouTube channel, Rhys Evans from The Financial Times, and Kateryna Nesvit, Visiting Professor, Data Science at Marymount University. Those are just four of this year’s 90+ speakers. Be among the first to get the agenda, and?register?to receive all upcoming announcements.
Enjoy!
The Neo4j Team
PROGRAMMING:?Optimizing Cypher query by using parameters
It’s good programming practice to use parameters in Cypher Queries whenever possible. This allows for the caching of queries within the Cypher Engine, which is beneficial for performance. Tom Nijhof discovered this feature and explains how it worked for him.
领英推荐
KNOWLEDGE GRAPH:?Why IKEA’s Knowledge Graph Has Three Layers
Katariina Kari , lead ontologist at Inter IKEA Systems, explains how envisioning their KG on three layers is not only useful for organizing their work but also for communicating its contents to non-technical stakeholders.
Michael Hunger walks you through accessing OpenCitations, a project aiming to publish open bibliographic citation information in RDF.
COURSE:?Introduction to Neo4j
If you’re trying to figure out a connected data problem, looking to understand how to spot one, or just want to learn about graph databases, check out this course. Join Lulu Lazarevic, data geek and part of the Field Team and Developer Relations Team, for interactive, hands-on lessons using Neo4j!
THEORY:?Wardley Maps and Graph Databases
With the transfer of a Wardley map into a graph database, the map can be analyzed and interpreted with structured queries. This facilitates their evaluation and allows for automated recognition of patterns.