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JanusGraph tips and tricks part 1
Want more JanusGraph help? Here's part 1 of JanusGraph tips and tricks.
Expero Blog | JanusGraph Nuts and Bolts Part 2: The New CQL Adapter
Follow these tips to speed up your JanusGraph queries when running against a variety of storage backends including Apache Cassandra, ScyllaDB, Apache HBase, and Google Cloud Bigtable.
New updates for Microsoft Azure Storage Explorer
After the recent general availability for Storage Explorer, we also added new features in the latest 1.1 release to align with Azure Storage platform...
Gartner Names Knowledge Graphs an Emerging Technology
ARLINGTON, Va. (PRWEB) September 06, 2018 Stardog, the leading Enterprise Knowledge Graph Platform, is proud to report that Gartner has recognized Knowledge Graphs as an emerging technology in it
Solid: Linked Data for personal data management
Graph Technology Is in the POLE Position to Help Law Enforcement [Video]
Discover how law enforcement and government agencies are harnessing the power of graph database technology alongside the POLE data model (Person, Object, Location, Event) to uncover hidden connections in crime data, including networks of criminal and fraudulent behavior that were previously hidden.
Milestone ArangoDB 3.4: ArangoSearch- Information retrieval
For the milestone of the 3.4 release, we’ve implemented a set of information retrieval features exposed via new database object View.
https://t.co/mzhAizNFoi
Performance testing a graph database
We’re building a new data service for Parliament and an important component of it is our triple store, also known as a Graph Database. Matthieu Bosquet explains what this is and what it means for data in Parliament.
Release Candidate 1 ArangoDB 3.4 – What’s new?
This release candidate is the first one with a cluster-ready ArangoSearch integration, the long awaited GeoJSON support and Google’s S2 Geo Index.
Announcing Stardog 5.3 - 5x cluster performance improvement and S3 backups - Stardog
Stardog 5.3 includes 5x cluster performance improvement and S3 backups. Read on for the details.
Part 1/2: Graphs are Bloom-ing
A blog about my work and fun with Neo4j, the world's leading graph database platform.
bricaud/graphexp
Interactive visualization of the Gremlin graph database with D3.js - bricaud/graphexp
https://t.co/Xo68AdG789
Distributed Data Show Episode 51: Graph Tips and Tricks with Ted Wilmes
David and Jeff talk with Ted Wilmes from Expero about best practices regarding DSE Graph and the importance of proper data modeling. Highlights 0:16 - David goes through introductions and gets an answer about who/what is Expero 0:57 - Expero has the best swag and David realizes his laptop is already wearing some 2:13 - What does Expero help developers understand? 3:55 - Ted explains why core DSE data modeling is so important because everything you do in DSE Graph eventually maps down to your model 4:39 - Potential graph pitfalls from not understanding implications of the underlying data mod...
Neo4j A* Algorithm
Just recently A* Algorithm was added to Neo4j graph algorithms and I decided to show how nicely APOC spatial functions fit with it as it uses GPS location for heuristic. Import I found this cool gi…
Community detection based on Jaccard similarity index with Neo4j
Recently similarity algorithms were introduced in Neo4j graph algorithms library, so I decided to show how easy it has become to infer a graph using Jaccard similarity and then run Community detect…
4 Reasons to Use Graphs to Optimize Machine Learning Data Engineering
Semantic knowledge graphs accelerate data engineering for machine learning, helping you maximize results.
https://tdwi.org/Events/Conferences/Anaheim/Sessions/Friday/ARCH-ALL-Data-Modeling-with-Meaning-Incorporating-Semantics-into-Data-Models.aspx
Microsoft updates its planet-scale Cosmos DB database service
Cosmos DB is undoubtedly one of the most interesting products in Microsoft’s Azure portfolio. It’s a fully managed, globally distributed multi-model database that offers throughput guarantees, a number of different consistency models and high read and write availability guarantees. Now that’s a mouthful, but basically, it means that developers can build a truly global product, […]
Get Ready for the Semantic Web
At linked data-driven companies you will find it difficult to distinguish between “traditional” data workers and those in other functional areas who, at other companies, are less reliant on data.
Getting started with graph analysis in Python with pandas and networkx
Graph analysis is not a new branch of data science, yet is not the usual “go-to” method data scientists apply today. However there are some…
Graphs and ML: Multiple Linear Regression
Same neo4j linear regression procedures, now unlimited independent variables! More functionality without additional complexity for the…
Alan Morrison on Twitter
Interesting piece. Many seem to be feeling around blindly for the next unicorn, when new value from data is being created and discussed openly by companies who blend statistical and knowledge modeling. Some examples: https://t.co/V3QCVLSmBT https://t.co/aOvQnYz1XV— Alan Morrison (@AlanMorrison) November 17, 2018
Alexandre Afonso on Twitter
Football clubs connected to the countries for which their players play at the world cup. Size of nodes: number of players at the world cup. pic.twitter.com/ONYjuCafUn— Alexandre Afonso (@alexandreafonso) June 17, 2018
TinkerPop on Twitter
The Graph Engine Service from Huawei Cloud is Apache TinkerPop enabled - yet another #graphdb to offer Gremlin support https://t.co/azSWcmDKUP pic.twitter.com/tnaUNORXSf— TinkerPop (@apachetinkerpop) July 18, 2018
Karin Wolok on Twitter
“Lovveeeee these women. They inspire me!!! Thank you for coming and speaking at the Neo4j Ecosystem Summit!!!! @gabidavila (Developer Advocate, Google), @reshamas (Data Scientist and Organizer of WiMLDS, PyLadies NYC), @jumokedada (Founder, Tech Women Network) #Neo4j #GraphConnect”