sql Archives - Neo4j Graph Database

Machine Learning, Graphs and the Fake News Epidemic (Part 2)

By Bryce Merkl Sasaki | August 10, 2017

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

Keywords: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql

Financial Services & Neo4j: Anti-Money Laundering

By Bryce Merkl Sasaki | June 26, 2017

Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Learn More →

Keywords: AML • anti-money laundering • cypher • Data Visualization • financial services • fraud detection • graph technology • money transfer • smurfing • sql

The 5-Minute Interview: David Brian Ward, CEO & Founder, Telegraph Hill Software

By Rachel Howard | May 19, 2017

“As with any kind of software, the best for the job is one whose function matches your data structures,” said David Brian Ward, CEO and Founder of Telegraph Hill Software. David and his team were searching for a tool that… Learn More →

Keywords: 5-minute interview • cloud infrastructure • cypher • DevOps • key value store • product development • relational database • SaaS • software-as-a-service • sql

The Engineering Evolution of Neo4j into a Native Graph Database

By Bryce Merkl Sasaki | May 2, 2017

Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Learn More →

Keywords: Causal Clustering • Connected Data • cypher • graph api • graph query language • native graph database • nosql database • recursive JOINs • relational database • sql

The 5-Minute Interview: Scott Grimes, Senior Director of Revenue Management at Marriott International

By Rachel Howard | April 7, 2017

“With Neo4j, we’ve been able to take our average processing time from over four minutes to about 13 seconds,” said Scott Grimes, Senior Director of Revenue Management at Marriott International. When Marriott customers search for hotel rooms for certain dates… Learn More →

Keywords: 5-minute interview • cypher • Marriott • neo4j • Oracle RDBMS • pricing engine • pricing strategy • relational database • revenue management • sql

Public Service Announcement: Neo4j Drivers 1.2 Release

By Michael Hunger, Developer Relations | April 4, 2017

We are happy to announce that all our officially supported Bolt drivers are now available as versions 1.2. With this release, we massively improved the way you write code to work with a cluster, introducing reusable “transaction functions” and built-in retry… Learn More →

Keywords: .NET • causal consistency • graph database • java • jdbc • language driver • neo4j • neo4j drivers • python • sql

Graph-Specialized ETL: Taking Citizens into the Graph and Keeping It up to Date

By Rachel Howard | March 21, 2017

Editor’s Note: This presentation was given by İrfan Nuri Karaca at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The exponentially growing pool of data worldwide How graphs solved Kale Yazılım’s data challenges Trends in… Learn More →

Keywords: census data • cobol • cypher • data integration • etl • graphconnect • nosql • rdbms • relational database • sql

The 5-Minute Interview: Andrés Natanael Soria, Senior Software Architect at Cablevisión

By Rachel Howard | March 10, 2017

“Due to native graph storage, the Neo4j queries run really quickly, which is amazing,” said Andrés Natanael Soria, Senior Software Engineer at Cablevisión Fibertel. The company uses a broadband network to provide cable television and internet services to customers throughout… Learn More →

Keywords: 5-minute interview • apache kafka • data model • docker • fraud detection • impact analysis • native graph storage • network failure detection • Recommendation Engine • sql

From the Neo4j Community: January 2017

By Rachel Howard | February 14, 2017

The year is off to a great start when to comes to the Neo4j community. If this month is any indication of what’s to come, then we know that 2017 will be a big year for Neo4j projects, drivers and… Learn More →

Keywords: apache spark • cypher • docker • GraphX • IBM POWER8 • Neo4j Community • Panama Papers • python • sql • TrumpWorld

The 5-Minute Interview: John Swain, Data Science Product Manager at Right Relevance

By Rachel Howard | February 10, 2017

“When I initially chose Neo4j, it was a startup project. I found it extremely useful and easy to use, and immediately realized it was the way we wanted to develop,” says John Swain, Product Manager for Data Science and Data… Learn More →

Keywords: 5-minute interview • APOC • betweenness centrality • Brexit • graph algorithms • machine learning • PageRank • RNeo4j • sql • US presidential election

openCypher – the SQL of Graphs – Hosts First Implementers Meeting (oCIM)

By Bryce Merkl Sasaki | February 1, 2017

I’ve only been on the Neo4j team for eight months, but it’s been a hectic and fascinating introduction to the world of graph data management. During my career I’ve been back and forth between software product companies (from the very… Learn More →

Keywords: apache spark • cypher • data management • declarative language • graph technology • ldbc • opencypher • Oracle • SAP HANA • sql

The 5-Minute Interview: Dippy Aggarwal, Ph.D. candidate at the University of Cincinnati

By Rachel Howard | January 27, 2017

“We needed a database that could capture relationships – and there is no debate that Neo4j really excels at that,” says Dippy Aggarwal, Ph.D. candidate at the University of Cincinnati. Graphs provide significant advantages over relational databases when working with… Learn More →

Keywords: 5-minute interview • data warehouse • docker • etl • graph visualization • graphconnect • Pentaho • relational database • sql • University of Cincinnati

Oracle RDBMS + Neo4j: Fully Sync Relational and Graph Data

By Bryce Merkl Sasaki | January 9, 2017

Using the Neo4j graph database doesn’t have to be opposed to your existing Oracle RDBMS infrastructure. In fact, the two can work together. One of many ways Neo4j works alongside Oracle RDBMS is to have all data fully synchronized between… Learn More →

Keywords: apache kafka • Kafka connector • neo4j • Oracle • Oracle Exadata • Oracle GoldenGate • Oracle RDBMS • rdbms • recursive queries • sql

The 5-Minute Interview: David Meza, Chief Knowledge Architect, NASA

By Rachel Howard | November 18, 2016

For this week’s 5-Minute Interview, I chatted with David Meza, Chief Knowledge Architect at NASA Johnson Space Center in Houston. I caught up with David at GraphConnect San Francisco. Here’s what we talked about: Tell us a little bit about… Learn More →

Keywords: 5-minute interview • Big Data • data model • Data Relationships • graph database • nasa • relational database • relational model • sql • unstructured data

3 Advantages of Using Neo4j Alongside Oracle RDBMS

By Bryce Merkl Sasaki | November 14, 2016

The rising popularity of graph databases is a trend that developers and data architects can no longer ignore. At the same time, well-established relational database management systems (RDBMS) like Oracle aren’t going anywhere soon. Oracle RDBMS is the backbone of… Learn More →

Keywords: Connected Data • graph database • neo4j • Oracle • Oracle RDBMS • polyglot persistence • query performance • rdbms • relational database • sql

The 5-Minute Interview: Conrad Taylor, Freelance Software Engineer

By Rachel Howard | November 4, 2016

For this week’s 5-Minute Interview, I spoke with Conrad Taylor, a freelance software engineer. Here’s what we talked about: Talk to me about how you use Neo4j. What projects are you working on? Conrad Taylor: Right now I’m creating a… Learn More →

Keywords: 5-minute interview • cypher • email filtering • graph database • microservices • Recommendation Engine • recommendation service • relational database • ruby on rails • sql

Using Neo4j & Structr to Measure the Impact of 1 Tonne of Carbon

By Bryce Merkl Sasaki | October 5, 2016

Structr is a Silver sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. It’s on the news all the time: climate change, global warming, etc. Advocated by politicians like Al Gore and President… Learn More →

Keywords: ACID • application framework • content management system • enterprise content management • global warming • graph database • neo4j • relational database • sql • Structr

Imperative vs. Declarative Query Languages: What’s the Difference?

By Bryce Merkl Sasaki | September 19, 2016

The history of programming languages goes back to the beginning of computing, with new languages being created for each variation and paradigm. When it comes to databases, two well-known paradigms include imperative and declarative query languages. All too often, the… Learn More →

Keywords: cypher • database query language • declarative query language • gremlin • imperative language • Java API • query language • RDF triple store • sparql • sql

How Will Graph Technology Propel the Internet of Things? [Virtual Panel]

By Bryce Merkl Sasaki | September 8, 2016

The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT… Learn More →

Keywords: connected car • Geospatial • graph database • graph technology • Internet of Things • IoT • machine learning • relational database • sql • time-series data

The 5-Minute Interview: Paul Jongsma, Founder of Webtic

By Bryce Merkl Sasaki | August 12, 2016

For this week’s 5-Minute Interview, I spoke with Paul Jongsma, Founder of Webtic. Paul and I sat down together at GraphConnect Europe last April. Here’s what we talked about: Can you tell me a little bit about how you guys… Learn More →

Keywords: 5-minute interview • cypher • data model • graph database • neo4j 3.0 • rdbms • relational database • sql • web solutions • Webtic

The 5-Minute Interview: İrfan Nuri Karaca, Project Manager at Kale Yazılım

By Bryce Merkl Sasaki | July 29, 2016

For this week’s 5-Minute Interview, I spoke with İrfan Nuri Karaca, Project Manager at Kale Yazılım in Ankara, Turkey. I got to interview İrfan at GraphConnect Europe. Here’s what we talked about: Tell me about the projects you work on… Learn More →

Keywords: 5-minute interview • census data • data connections • ETL tool • graph database • Kale Yazılım • rdbms • relational database • sql • Turkey

Dependency Management with Neo4j at the Royal Bank of Scotland

By Bryce Merkl Sasaki | July 13, 2016

Editor’s Note: This presentation was given by Stelios Gergiannakis at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The legacy deployment process at RBS Challenges with integration in dependency management Why the RBS team chose… Learn More →

Keywords: dependency management • entity-relationship diagram • graphconnect • microservice • RBS • regression testing • Royal Bank of Scotland • sql • UAT • user acceptance testing

Cypher: How to Rewrite a UNION Query Using a COLLECT Clause

By Bryce Merkl Sasaki | May 17, 2016

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… Learn More →

Keywords: COLLECT • cypher • Cypher Query • data model • declarative query language • neo4j • ORDER BY • query language • sql • UNION

How We Use Neo4j to Manage Microservices at Veneto Banca

By Bryce Merkl Sasaki | April 22, 2016

Thinking, designing and implementing an enterprise multi-channel architecture and platform is a challenging opportunity. For the last couple of years we’ve been involved in this huge project at Veneto Banca, and our mission was the innovation of the bank’s information… Learn More →

Keywords: data model • dependency management • graph database • Martin Fowler • microservices • multi-channel architecture • neo4j • rdbms • sql • Veneto Banca

Simplifying Commodity Flows with Tom Sawyer Perspectives

By Bryce Merkl Sasaki | April 19, 2016

Figure 1. Commodity Flow Visualization Grouped by U.S. State What Does It Show? This graph and data visualization application is created with Tom Sawyer Perspectives. It displays information pulled from a subset of data from the United States Census Bureau,… Learn More →

Keywords: commodity flow • cypher • data model • Data Visualization • federated data • graph database • graphconnect • RDF • sql • tom sawyer perspectives

From the CEO

Emil's Blog

Have a Graph Question?

Reach out and connect with the Neo4j staff.

Stackoverflow
Slack
Contact Us

Share your Graph Story?

Email us: content@neotechnology.com

Tag Archives: sql