From Zero to the Connected Enterprise in 45 Minutes
By Enzo
September 9, 2020 18 mins read
Learn how to integrate your business data, automate the cleansing process and make your data ready by connecting your data-driven enterprise.
Keywords: connected enterprise • data automation • data cleansing • data integration • data preparation • Graph Databases • GraphQL • reinforcement learning • universal query language
Graph Databases for Beginners: The Basics of Graph ETL
By Bryce Merkl Sasaki
May 12, 2020 7 mins read
Learn how ETL tools (extract, transform, load) work, including the basics of graph ETL, which converts relational databases to graph databases.
Keywords: convert databases • etl process • etl tools • Extract Transform Load • graph database • graph etl • neo4j etl tool • rdbms to graph • relational database • sql to cypher
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →
Keywords: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
GraphConnect 2020: Call for Papers Closing November 15
By Jocelyn Hoppa
October 17, 2019 2 mins read
Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.
Keywords: call for papers • graph database • GraphConnect 2020 • neo4j • Neo4j Community
Graphs in Government: Lockheed Martin Space
By Jocelyn Hoppa
May 27, 2019 4 mins read
Learn how Lockheed Martin Space connects all of its data silos by storing the relationships between the data and those systems in a Neo4j graph database.
Keywords: CAD models • data silos • government • graph database • impact analysis • Lockheed Martin Space • root cause analysis • supply chain • system integration
Mapping Product DNA: 5-Minute Interview with Ann Grubbs
By Jocelyn Hoppa
April 5, 2019 3 mins read
“Data is meaningless if you don’t know how to connect it,” said Ann Grubbs, Chief Data Engineer at Lockheed Martin Space. Lockheed Martin Space builds satellites, following the entire product lifecycle, from proposals to engineering and design to procurement and… Read more →
Keywords: 5-minute interview • Ann Grubbs • Data Engineer • etl • graph database • graph technology • Lockheed Martin Space • Master Data Management • MDM • product DNA
A Journey to the Graph Side: How (& Why) the Former CTO of MariaDB Joined Neo4j [Interview]
By Bryce Merkl Sasaki
January 15, 2019 9 mins read
If you don’t know anything about MariaDB – and you’re reading a database blog remember – then you’re the exception. In 2018, MariaDB was the second-fastest-growing relational database (behind Postgres) and is a leading example of commercially supported open source… Read more →
Keywords: 5-minute interview • cto • graph algorithms • graph database • graph technology • MariaDB • MySQL • neo4j • open source • rdbms
Next-Gen Master Data Management Runs at the Speed of Now [Infographic]
By Jocelyn Hoppa
January 10, 2019 < 1 min read
Having a lot of data to mine from is a truly beautiful thing. But many businesses today struggle with data – especially as it grows and becomes more complex – that’s stored in different data repositories, not to mention different… Read more →
Keywords: data connections • data repositories • disconnected data • graph technology • Master Data Management
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018 3 mins read
Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →
Keywords: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
Graph Databases for Beginners: A (Brief) Tour of Aggregate Stores
By Bryce Merkl Sasaki
November 27, 2018 9 mins read
In 1841, William Buckland was one of the first paleontologists to observe what today we call the Cambrian explosion. At the time, he naturally knew that it would become a favorite metaphor used the world over to describe whenever we… Read more →
Keywords: aggregate store • apache cassandra • document database • document store • key value store • MongoDB • nosql • nosql database • Redis • wide-column store
Graph Databases for Beginners: Why We Need NoSQL Databases
By Bryce Merkl Sasaki
October 25, 2018 7 mins read
NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →
Keywords: aggregate store • data model • data valence • data variety • data velocity • data volume • nosql • nosql database • relational database • sql
Join Us at GraphHack 2018: Neo4j Buzzword Bingo Hackathon
By Bryce Merkl Sasaki
September 17, 2018 4 mins read
GraphConnect is almost here, which means it’s time for our annual GraphHack Hackathon! Join other graph hackers for a fun day of building applications featuring Neo4j’s great integrations with other popular technologies (a.k.a. buzzwords). This year’s event will be hosted… Read more →
Keywords: cypher • Data Visualization • Geospatial • GRANDstack • graphconnect • graphHack • hackathon • natural language processing • Neo4j Community • neo4j integration
11 Must-See Speakers at GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 24, 2018 2 mins read
There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →
Keywords: ai • data governance • data management • Data Scientist • graphconnect • machine learning • Master Data Management • Personalization • predictive analytics • Recommendations
The eBay App for Google Assistant: Graph-Powered Conversational Commerce
By Jocelyn Hoppa
August 22, 2018 6 mins read
Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary The eBay App for Google Assistant is a chatbot powered by knowledge graphs that supports conversational commerce. In creating… Read more →
Keywords: ai • docker • eBay ShopBot • google cloud platform • graphconnect • knowledge graphs • Kubernetes • machine learning • natural language understanding • spark
Don’t Choose One Database… Choose Them All!
By Jocelyn Hoppa
July 19, 2018 16 mins read
Editor’s Note: This presentation was given by Dave da Silva at GraphConnect Europe in May 2017. Presentation Summary Capgemini, a global leader in consulting, technology and outsourcing services, believes that using multiple databases improves your ability to unlock the business… Read more →
Keywords: APIs • cypher • data analysis • database technology • graph database • graphconnect • machine learning • nosql • relational database • SQL databases
Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn
By Jocelyn Hoppa
June 29, 2018 6 mins read
“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →
Keywords: 5-minute interview • Connected Data • Graph Databases • graph model • graph technology • graphconnect • machine learning • nosql • polyglot persistence • technology stack
The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]
By Bryce Merkl Sasaki
June 11, 2018 4 mins read
Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →
Keywords: Airbnb • Apache Hive • Connected Data • data discovery • data model • digital transformation • elasticsearch • master data • PageRank • python
Are You the GraphConnect 2018 Presenter We’ve Been Looking for? [CFP Is Now Open!]
By Bryce Merkl Sasaki
June 1, 2018 3 mins read
Bad news droids: You’re not the presenters we’re looking for. However, we’ll need some help finding the perfect presenters for GraphConnect 2018. That’s why the Call for Papers (CFP) is now open! Wait, What’s GraphConnect? Connected data isn’t just powering… Read more →
Keywords: API integration • artificial intelligence • call for papers • CFP • Connected Data • digital transformation • graphconnect • GraphQL • machine learning • polyglot persistence
Neo4j ETL 1.2.0 Release: What’s New + Demo
By Bryce Merkl Sasaki
May 31, 2018 7 mins read
In the last seven months since GraphConnect New York, we have worked on enhancing the Neo4j ETL tool adding support for all relational databases with a JDBC driver. We also did some backend optimizations and made few changes to the… Read more →
Keywords: data mapping • docker • etl • IBM DB2 • jdbc • Microsoft SQL Server • MySQL • Neo4j ETL • Oracle RDBMS • PostgreSQL
Graph Algorithms: Make Election Data Great Again
By Rachel Howard
August 22, 2017 12 mins read
Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Read more →
Keywords: APOC • betweenness centrality • community detection algorithm • cypher • Graph Algorithm • graphconnect • law of the few • PageRank • python • r
Streamlining Processes with Neo4j at Glidewell Laboratories
By Rachel Howard
August 4, 2017 15 mins read
Editor’s Note: This presentation was given by Galit Gontar and Robert Edwards at GraphConnect San Francisco in October 2016: Presentation Summary As a vertically integrated company, Glidewell Laboratories needs their processes and workflows to be flexible and open to innovation.… Read more →
Keywords: AWS • Connected Data • dental laboratory • docker • glidewell laboratories • graphconnect • manufacturing process • MongoDB • polyglot persistence • workflow engine
Neo4j JDBC Driver 3.0.3 & 3.1.0 Released
By Bryce Merkl Sasaki
June 14, 2017 7 mins read
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Click here to skip straight to the JDBC driver announcement. During his opening keynote address, Emil… Read more →
Keywords: APOC • bolt • Couchbase • etl • graphconnect • JDBC driver • JSON API • MongoDB • nosql database • spark
Financial Services & Neo4j: Data Lineage & Metadata Management
By Bryce Merkl Sasaki
May 30, 2017 3 mins read
Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and… Read more →
Keywords: Bank • data lineage • financial services • Global 500 • graph technology • knowledge base • master data • metadata management • regulatory compliance • Sarbanes-Oxley Act
Accelerating Scientific Research through Machine Learning and Graphs
By Joy Chao
May 22, 2017 18 mins read
Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Read more →
Keywords: breast cancer • data analysis • graphconnect • Hadoop • Hive • machine learning • microfluidics • microRNA • natural language processing • stomach cancer
Advantages of a Graph-Based Metadata Repository [Community Post]
By Bryce Merkl Sasaki
May 4, 2017 5 mins read
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Many higher education institutions, like the University of Washington (UW), are implementing large, complex, Software-as-a-Service solutions… Read more →
Keywords: data governance • data integration • data lineage • human capital management • impact analysis • metadata management • metadata repository • source-to-target mapping • system migration • University of Washington