This week we learn how to model complex financial instruments, load streaming data into Neo4j, solve a Rubik's cube, shuffle a pack of cards using random walks, and use Kettle as part of our ETL process.
5. In David Allen's latest blog post he explains how database
triggers work, how you can get them in Neo4j via the APOC
library, how they work
under the covers, and
how to use them to do
streaming data loading.
Streaming Graph Loading with Neo4j and APOC
Triggers
Read the blog post
6. Joe Depeau presented a webinar in which he showed how
to model complex financial instruments with Neo4j. Joe
explains the myriad of financial instruments, builds a graph
of mortgage backed securities, and
then shows how to explore the data
using Cypher in the Neo4j Browser and
visualise it using Neo4j Bloom.
Modelling Complex Financial Instruments with Neo4j
Watch the video
7. Joy Chao explains triadic closures, structural balance, local
bridges, and how to use these to solve real world
problems.
Read the blog post
Graph Theory & Predictive Modeling
8. Tomaz Bratanic has come up with a fun use case for the
recently added random walk procedure - shuffling a deck of
playing cards!
Shuffling cards with the Random Walk Algorithm
Read the blog post
9. Benoît Simard has written a blog post in which he explains
how to load data into Neo4j using the Kettle ETL tool and
newly written Neo4j connector.
Importing data into Neo4j using Kettle ETL Tool
Read the blog post
10. I came across an old post written by JeffProd about solving
a Rubik’s cube using Neo4j. In the post JeffProd shows how
to model the problem as a graph,
imports all possible positions for a
Rubik’s cube use the neo4j-import
tool, and then solves it using a
shortest path query.
Solving a Rubik's Cube using Neo4j
Read the blog post
11. If you liked this check
out the blog post
This Week in Neo4j - 1st September 2018