Neo4j Integrates Into Your Data Ecosystem with Connectors
By Angela Zimmerman
June 28, 2022 6 mins read
Developers and data scientists leverage many different technologies, each best suited for specific tasks: different types of databases, data warehouses, and data lakes, knit together with powerful ETL tools.
Explore: apache spark • connectors • Developer • ETL tool • Graph Analytics • graph database • Kafka connector • neo4j • Neo4j BI Connector • Neo4j Spark Connector
The 12 Best Graph Analytics Tools to Consider for 2022
By Solutions Review - June 27, 2022
Explore: data analytics • Graph Analytics • graph tools
Achieve Unrivaled Speed and Scalability With Neo4j
By Angela Zimmerman
May 2, 2022 11 mins read
In this blog, we will explore how to reframe the complexity of scalability in a more useful way and look at sources and patterns to demonstrate how it manifests in graphs.
Explore: AI / Machine Learning • algorithms • database scalability • Graph Analytics • graph database • graph native scale • graph technology • neo4j • Scale • sharding
Enabling Your Business with the Power of Connected Data
By Angela Zimmerman
February 9, 2022 3 mins read
This blog post will cover some high-level architecture designs to help you get started with a minimal setup.
Explore: AI / Machine Learning • architecture • cloud • Connected Data • Enterprise • GCP • Graph Analytics • graph analytics platform • graph data platform • graph database
The Top 5 Neo4j Webinars of 2021
By Angela Zimmerman
December 27, 2021 3 mins read
While we can look back and say that 2021 was a year of disruption, the same rings true for the world of tech, especially in the graph space. I’m constantly amazed by how connected our world is becoming and can… Read more →
Explore: cybersecurity • Graph Analytics • graph data science • knowledge graphs • machine learning • ML • Neo4j Bloom • predictive analytics • supervised machine learning • visualization
Looking for deeper insights? Here’s how graph analytics can help
By The Edge Singapore - October 27, 2021
Explore: APAC • Big Data • Connected Data • data analytics • Graph Analytics
This Week in Neo4j – Speaking Cypher, Stocks, Graphalue, Discover Aura, Wikidata, Gephi
By Max Andersson
October 23, 2021 6 mins read
Check out This Week in Neo4j, featuring speaking Cypher, stocks, Graphalue, discover Aura, Wikidata, and Gephi.
Explore: Aura Free • Connected Data • cypher • Graph Analytics • graph database • Graphalue • twin4j • Wikidata
Breaking Artificial Intelligence’s Hidden Glass Ceiling
By IT for CEOs - July 7, 2021
Explore: ai • artificial intelligence • data • graph algorithms • Graph Analytics • Scalability
Top 5 Graph Analytics Takeaways from Gartner’s Data & Analytics Summit
By Enzo
May 11, 2021 7 mins read
Discover the top 5 graph analytics takeaways from Gartner’s Data & Analytics Summit, from creating context to improving communication.
Explore: ai • Analytics • artificial intelligence • Gartner • Graph Analytics • graphs • machine learning
Gartner’s Getting Graphy at Highly Anticipated Data & Analytics Summit
By Enzo
May 4, 2021 7 mins read
Getting ready for the Gartner Data & Analytics Summit? Check out CMO of Neo4j Lance Walter’s anticipated list of sessions he’ll be attending.
Explore: AI and Machine Learning • Gartner Data & Analytics Summit • Graph Analytics • graph database • graph technology • Knowledge Graph • neo4j
Graph-Based Data Science, Machine Learning, and AI
By DZone - April 20, 2021
Explore: ai • data science • Graph Analytics • Graph Databases • graph-based machine learning • knowledge graphs • machine learning
Engineers tap machine learning to improve graph analytics
By Waters Technology - April 7, 2021
Explore: ai • artificial intelligence • Big Data • Graph Analytics • graph database • graph technology • machine learning
Neo4j Chief Scientist Explains the Growing Importance of Graph Data Science Part 2
By Data & Storage Asean - March 10, 2021
Explore: APAC • data • Graph Analytics • graph data science • Graph Databases
Neo4j Chief Scientist Explains the Growing Importance of Graph Data Science Part 1
By Data & Storage Asean - March 9, 2021
Explore: APAC • Graph Analytics • graph data science • Graph Databases
20 NODES 2020 Talks You May Have Missed
By Enzo
December 31, 2020 3 mins read
Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.
Explore: covid-19 • cypher • drug discovery • Google Cloud • Graph Algorithm • Graph Analytics • graph data science • Graph Databases • graph-native learning • knowledge graphs
Capgemini’s UK Graph Guild: 5-Minute Interview with Calum Chalmers
By David Penick
December 18, 2020 2 mins read
Check out this week’s 5-Minute Interview with Calum Chalmers, Senior Data Scientist at Capgemini, about the UK Graph Guild.
Explore: 5-minute interview • Capgemini • Graph Analytics • graph database • Haystack • mapreduce • POCs • SQL vs. Graph • UK Graph Guild
Evolving Your Application of GDS Technology
By Jocelyn Hoppa
December 10, 2020 8 mins read
Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.
Explore: gds technology • Graph Analytics • graph data science • graph embeddings • graph feature engineering • graph networks • knowledge graphs • machine learning
Simplifying Data Visualization: 5-Minute Interview with Varun Bhandary
By David Penick
December 4, 2020 < 1 min read
Check out this week’s 5-Minute Interview with Varun Bhandary, solutions architect at Cognizant, about his experience with Neo4j’s graph database.
Explore: 5-minute interview • choosing neo4j • Data Visualization • getting started with neo4j • Graph Analytics • Graph Tour • GraphX
Understanding Graphs and Graph Data Science
By Jocelyn Hoppa
November 19, 2020 6 mins read
Check out this blog learn what you can expect from the newly released, free book, Graph Data Science For Dummies.
Explore: data scientists • Graph Analytics • graph data science • graph data science for dummies • Graph Theory
Insider Guide to Graph Data Science: First, a Brief Overview
By Jocelyn Hoppa
October 12, 2020 6 mins read
Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.
Explore: graph algorithms • Graph Analytics • graph data science • graph embeddings • graph export • in-memory graph • machine learning
Graph Analytics for Business Users: 5-Minute Interview with Robert Allison of Kineviz
By Jocelyn Hoppa
August 27, 2020 5 mins read
Check out this 5-minute interview with Robert Allison, Director of Product at Kineviz, as he discusses their products and graph analytics.
Explore: 5-minute interview • Graph Analytics • GraphXR • Kineviz • sql
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
April 20, 2020 6 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • betweeness centrality • community detection algorithm • cypher • cypher queries • data science • Financial Fraud Detection • fraud detection • graph algorithms • Graph Analytics
Announcing Neo4j for Graph Data Science
By Jocelyn Hoppa
April 8, 2020 7 mins read
Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.
Explore: ai • Analytics • artificial intelligence • Bloom • data scientists • graph algorithms • Graph Analytics • graph data science • graph database • graph visualization
Machine Learning Algorithms
By Corin Gainey
March 18, 2020 11 mins read
Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.
Explore: artificial intelligence • Connected Data • data model • Data Visualization • Graph Analytics • graph database • graph visualization • graphconnect • machine learning • neo4j