DXC Career Navigator: Data Driven Employee Career Development and Engagement
By Enzo
October 11, 2022 8 mins read
Discover how the DXC Career Navigator uses knowledge graphs to connect siloed employee data and generates intelligent career recommendations.
Keywords: Analytics • Career • career development • DXC • dxc career navigator • DXC Technology • employee data • Graph Databases • Knowledge Graph • neo4j
This Week in Neo4j: RDF, SPARQL, Pathfinder Algorithms, Graph Data Science, Predictive Analytics, and More
By Yolande Poirier
October 8, 2022 3 mins read
In this week’s featured article, Agustin Martinez presents a comprehensive overview of RDF (Resource Description Framework) and LPG (Labeled Property Graph) models. He describes the various elements that exist in both models, and reviews the languages used to model, ingest,… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Road to NODES Workshop Series: Oct 19 – Nov 2
By Angela Zimmerman
October 6, 2022 2 mins read
Brush up your skills before NODES, our graph technology conference on Nov 16 and 17. The Road to NODES series of preparatory workshops will help you get the most out of the event.
Keywords: conference • developer community • education • graph technology • Neo4j Community • NODES 2022 • The Road to NODES • workshops
Combating Disease Using Graphs: The 5-Minute Interview With Henrik Enquist
By Angela Zimmerman
October 4, 2022 3 mins read
“As a beginner starting to use Neo4j for the first time, I would say just go with it, try it, play with a movie example data set, and just get familiar with it. It’s really quite logical once you figure out the first few steps,” says Henrik Enquist, Advanced IT Developer at Novo Nordisk.
Keywords: 5-minute interview • Customer • customer use case • Healthcare • Interview • neo4j • Novo Nordisk
Loading Data into Neo4j With Google Cloud Dataflow
By Angela Zimmerman
October 3, 2022 16 mins read
We are excited to announce that Neo4j has released flex templates for Google Cloud Dataflow, which support complex ETL processes through configuration, not code.
Keywords: apache • connectors • cypher • data science • Data Scientist • dataflow • etl • GCP • Google Cloud • Google Cloud Dataflow
New Book: Full Stack GraphQL Applications (Download for Free!)
By Enzo
September 30, 2022 8 mins read
Get a sneak peek into our new book Full Stack GraphQL Applications. We’re thrilled to offer you the whole book – for free!
Keywords: API • Apollo • applications • backend • book • Full Stack • GRANDstack • GraphQL • neo4j • query
NODES 2022 Speaker Highlights
By Angela Zimmerman
September 29, 2022 2 mins read
Join us virtually on November 16 and 17 for NODES 2022 – the best place to learn everything about graph technology. Whether your interest is in graphs fueled by machine learning, graphs for knowledge search and retrieval, or graphs leveraged for AI-based product recommendation, this 24-hour online conference is for you.
Keywords: conference • developer community • Neo4j Online Developer Conference • NODES 2022 • speakers • The Road to NODES
A Power User’s Experience on Using Graph Databases to Drive Better Decision Making
By Angela Zimmerman
September 28, 2022 4 mins read
“Bloom visualization makes it easy to drive discussion and help my clients understand the cheapest, fastest, or the greatest value path available to them and drive better decision making,” said Rob Orlando, Chief Operations Officer, Processus Group.
Keywords: AuraDB • customer experience • cypher • graph database • Interview • neo4j • Processus Group
This Week in Neo4j: Cypher Queries, IKEA Knowledge Graph, Linkedln Course, and More
By Yolande Poirier
September 26, 2022 3 mins read
This week we’re featuring a post by biomedical engineer Tom Nijhof, 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… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
A Machine Learning Innovation in Predictive Analytics
By Enzo
September 23, 2022 14 mins read
Discover how graph-based machine learning gives you more accurate predictions, using the CORA dataset as an example.
Keywords: Bloom • CORA • graph algorithms • graph data platform • graph data science • graph embeddings • machine learning • ML • neo4j • node classification
Graphs for Business Transformation: The 5-Minute Interview With Trinette Brownhill
By Angela Zimmerman
September 22, 2022 3 mins read
“I’ve been trying to find concrete evidence of why we need to bring in Neo4j… The team gives me a lot of the support I need in order to take the evidence to my clients,” says Trinette Brownhill, a Distinguished Engineer at IBM.
Keywords: 5-minute interview • business transformation • engineer • graph database • graph technology • IBM • Interview • neo4j
This Week in Neo4j: NFTs, Extension for Liquibase, Visualizations in Jupyter, CSV Mapping Editor, and More
By Yolande Poirier
September 17, 2022 3 mins read
This week’s featured piece is about the CSV mapping editor, one of Kineviz GraphXR’s most powerful tools that is especially handy if you’re just getting started with Neo4j. In the video, you’ll see a workflow that takes CSV data into… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
The Customer Journey Is a Graph
By Enzo
September 13, 2022 8 mins read
Learn how Bonsai Data Solutions and Cambridge Intelligence use graph to help clients understand and map their customer journeys.
Keywords: Analytics • BI • Bloom • bonsai • business intelligence • Cambridge Intelligence • customer journey • graph • graph database • neo4j
This Week in Neo4j: GraphQL, GraphXR, Marvel Studios API, Speech to Cypher, Free Training, and More
By Yolande Poirier
September 12, 2022 3 mins read
“Full Stack GraphQL Applications,” a book by William Lyon, is hot off the presses in both print and ebook formats from Manning Publications. This book shows you how to develop full stack GraphQL applications using GraphQL, React, Apollo, and Neo4j… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps
By Angela Zimmerman
September 7, 2022 13 mins read
Design thinking is the secret to successful graph-powered apps. My organization, Predictive UX, designs graph-based applications. We come at it from a human-first user experience perspective and work primarily with enterprise organizations on complex content and data projects. I want to share some insights with you today about how design thinking impacts data products.
Keywords: design thinking • graph-powered apps • Predictive UX • talk • UX design
This Week in Neo4j: CSV Import, Rails Integration, Better Farming, ML for Graphs, and More
By Yolande Poirier
September 3, 2022 4 mins read
In this week’s newsletter, researchers at UCLA DataResolutions set out to train a model to predict team assignments of their members based on who they know in the organization. The project integrates a graph deep learning pipeline with a knowledge graph… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Summer 2022: Neo4j AuraDB Update
By Angela Zimmerman
August 31, 2022 3 mins read
Neo4j AuraDB is a cloud-based, fully managed graph database offering. Built on a native graph engine with uncompromising performance, AuraDB helps you focus on your applications with rich data insights without the worry of managing infrastructure. Whether you are new… Read more →
Keywords: Aura Updates • AuraDB • AuraDB Free • cloud • data importer • database • graph database • neo4j • Neo4j AuraDB Enterprise • Scalability
This Week in Neo4j: Graph Solutions, Healthcare Analytics, Recommendation Engine, Integration Tests, and More
By Yolande Poirier
August 27, 2022 4 mins read
In this week’s newsletter, Chintan Desai demonstrates how the connected data capabilities of a graph database can help achieve what is either impossible or complicated with other database models. He performs analytics on a knowledge graph translated from the publicly… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Graphs for Information Services: The 5-Minute Interview With Cyndi Streun
By Angela Zimmerman
August 25, 2022 2 mins read
Graphs are not just something for the researchers, for the universities. There’s a product out there, it’s applicable, it’s in production, it can scale if scale is necessary. It can give you the features you need, take your data, and explore it.
Keywords: Federation of State Medical Boards • graph database • graph technology • Information Services • Interview • neo4j • relational database
This Week in Neo4j: Java, MongoDB, Microservices, Graph Theory, and More
By Yolande Poirier
August 21, 2022 3 mins read
We are pleased to announce the release of the brand new Cypher Intermediate Queries course on GraphAcademy. This course is the second in the Cypher learning path, building on the knowledge gained in the Cypher Fundamentals course by teaching you… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Using Graph Technology for Environmental Data Compliance and Implementation
By Angela Zimmerman
August 15, 2022 5 mins read
Every person, company, and government is going to be affected by climate change, which is why we are already seeing increasingly demanding regulations from environmental agencies and can expect to see more at the state, national, and international levels.
Keywords: climate change • digital twin • environmental regulation • environmental sciences • graph technology • greenhouse gas emissions • regulatory compliance • sustainability
This Week in Neo4j: GraphQL, Low Code, Cybersecurity, Graph Refactoring, and More
By Yolande Poirier
August 13, 2022 4 mins read
Here is a selection of graph-related articles we hope you will enjoy! In Adrien Sales’ blog, he explains how making his company’s information system available as a graph enabled the queries and visual discoveries that changed the company culture. Tom… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Neo4j Graph Framework and Project Assessment
By Angela Zimmerman
August 11, 2022 4 mins read
Developed by Neo4j Global Services with the experience honed through hundreds of successful implementations, the Neo4j Graph Framework is the single trusted reference for any organization to act upon to ensure all areas are addressed throughout the lifecycle of the solution development or project implementation.
Keywords: Customer • customer data • data • data ingestion • Enterprise • Graph Data • graph framework • graph technology • Neo4j Graph Framework • use cases
How Graphs Power OpenSanctions: The 5-Minute Interview with Friedrich Lindenberg
By Angela Zimmerman
August 10, 2022 11 mins read
OpenSanctions is the brainchild of Friedrich Lindenberg. It uses graph technology to analyze different datasets to identify significant individuals around the globe – like politicians, their associates, and other persons of interest – giving investigators, businesses, journalists, and technologists an essential open source tool to optimize their work.
Keywords: civic tech • Connected Data • Cybercrime • graph database • graph technology • Interview • OpenSanctions
From Collected Data to Connected Data: How Knowledge Graphs Are Changing the World
By Angela Zimmerman
August 5, 2022 15 mins read
If you’re still not quite sure about the value and application of graph databases, this enlightening interview will give you a greater understanding of how this technology is used. Get insights into what industries have already jumped on the graph bandwagon, and learn what makes knowledge graphs in particular so powerful.
Keywords: APAC • business applications • Connected Data • graph database • graph technology • Interview • knowledge graphs