Semantic PDM: Using a Graph Data Model at Schleich
May 30, 2016 13 mins read
What we’re going to be talking about today is how the German toy manufacturer Schleich uses a graph data model to track all the elements related to toy production. I’ve been an engineer in Germany for the last 25 years,… Read more →
Explore: consumer safety • Enterprise Resource Planning • graph data model • graphconnect • micro applications • Oracle • product data management • product development • SAP • schleich
The 5-Minute Interview: James Weaver, Developer Advocate at Pivotal
May 27, 2016 3 mins read
For this week’s 5-Minute Interview, I sat down with James Weaver, a Developer Advocate at Pivotal. I caught up with Jim at GraphConnect Europe in April. Editor’s Note: Catch Jim Weaver’s lightning talk “Navigating All the Knowledge” from GraphConnect Europe… Read more →
Explore: 5-minute interview • Cloud Foundry • cypher • graphconnect • java • pivotal • spring • Spring Data • Wikidata • wikipedia
The Panama Papers Graph Database Is Now Available for Download
May 26, 2016 2 mins read
Editor’s Note: Don’t miss this live webinar with Mar Cabra on how the ICIJ used Neo4j to unravel the Panama Papers happening today (26 May) at 9:00 PDT / 18:00 CEST. Click here to register or for more info. The… Read more →
Explore: command-line interface • csv • Docker • graph database • icij • Mac distribution • neo4j • neo4j-import • Panama Papers • twitter
IoT: Where Do Graphs Fit with Business Requirements
May 25, 2016 14 mins read
We’re going to talk quite a lot about reality in the Internet of Things (IoT) in this post. Some Background on IoT We’ll first set a little bit of background on the subject and what’s happening in the IoT space.… Read more →
Explore: complex event processing • data model • graphconnect • industrial automation • Internet of Things • IoT • precision farming • smart building • smart city • Uber
Advanced Neo4j at FiftyThree: Reading, Writing & Scaling – Oh My!
May 24, 2016 16 mins read
Editor’s Note: Last October at GraphConnect San Francisco, Asseem Kishore – Engineering Lead at FiftyThree – delivered this presentation on advanced read and write queries in Neo4j. For more videos from GraphConnect SF and GraphConnect Europe, check out graphconnect.com.. My… Read more →
Explore: cypher • deadlock detection • fiftythree • graphconnect • HAproxy • multithreaded programming • neo4j • race condition • slave lag • transient error
The 5-Minute Interview: Kent Lovestjärna, Digital Media Manager at Hästens
May 20, 2016 3 mins read
For this week’s 5-Minute Interview, I caught up with Kent Lovestjärna, the Digital Media Manager at Hästens Sängar in Köping, Sweden. I chatted at Kent while we were at GraphConnect Europe. Here’s what we discussed: Q: Talk to me about… Read more →
Explore: 5-minute interview • digital media • graph • Graph Databases • graphconnect • Hästens • Master Data Management • neo4j • SAP • Sweden
Answering All Your Questions: The Neo4j Knowledge Base
May 19, 2016 3 mins read
As more and more people discover the joy and the power of using Neo4j, we naturally find that we get more of the same questions and issues popping up. Some questions require updates and improvements to the documentation (check out… Read more →
Explore: github • graph database • hardware setup • knowledge base • neo4j • Neo4j documentation • ruby • ruby gem • wordpress • ZenDesk
Cypher: How to Rewrite a UNION Query Using a COLLECT Clause
May 17, 2016 5 mins read
Cypher is a declarative query language created for querying Neo4j‘s graph data. In Cypher, as in SQL, queries are built up using various clauses. One such clause is the UNION clause that we will discuss in this post. The UNION… Read more →
Explore: COLLECT • cypher • Cypher Query • data model • declarative query language • neo4j • ORDER BY • query language • sql • UNION
Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]
May 16, 2016 < 1 min read
Fraud rings are big business. First-party bank fraud costs banks (and their customers) over $16 billion each year in the United States, and insurance fraud costs nearly $80 billion annually. And fraud rings organized around ecommerce fraud rack up nearly… Read more →
Explore: bank fraud • ecommerce fraud • fraud analytics • fraud detection • Fraud Rings • Graph Databases • infographic • Insurance Fraud • neo4j • organized fraud