Big Data Archives - Neo4j Graph Database

A Graph-Specialized ETL: Taking Citizens into a Graph and Keeping It Up to Date

By Neo4j Community | April 14, 2016

In this post I want to talk about the challenges we faced during our graph journey and how we overcame them. The outline of this post is as follows. Why do we need ETL and sync from SQL to a… Learn More →

Keywords: Big Data • CDC • change data capture • data modeling • etl • graph • graph database • nosql database • rdbms • sql

The Panama Papers: Why It Couldn’t Have Happened Ten Years Ago

By Bryce Merkl Sasaki, Aspiring Graphista | April 6, 2016

Update: Mar Cabra, the lead editor of the #PanamaPapers investigation is giving an exclusive keynote on how the ICIJ team used Neo4j and graph technology at our GraphConnect Europe conference in London, on Tuesday, April 26. Register now with 50%… Learn More →

Keywords: Big Data • data analysis • data journalism • graph database • icij • Linkurious • Mossack Fonseca • neo4j • Panama Papers • swiss leaks

The 5-Minute Interview: Brad Brech, CTO of Solutions, IBM

By Bryce Merkl Sasaki, Aspiring Graphista | February 5, 2016

This week’s 5-minute interview is with Brad Brech, the CTO of Solutions at IBM. I caught up with Brad for a video interview at GraphConnect San Francisco. Q: Please tell us what you do at IBM and a little bit… Learn More →

Keywords: 5-minute interview • Big Data • cto • graphconnect • IBM • ibm power systems • neo4j • nosql • openpower foundation • POWER8

From the Neo4j Community: November 2015

By Bryce Merkl Sasaki, Aspiring Graphista | December 8, 2015

This past November has shown us why we’re so thankful for the Neo4j community. We’re especially grateful to all of you who published great articles about your projects, libraries and integrations with Neo4j on everything from Ruby on Rails and… Learn More →

Keywords: apache spark • Big Data • community • Graph Analytics • graph database • graphconnect • meteor.js • Neo4j Community • opencypher • Recommendation Engine • ruby on rails

Singapore Developers: Welcome to the Neo4j Community!

By Bryce Merkl Sasaki, Aspiring Graphista | December 3, 2015

Good news for developers in the Lion City: The Neo4j ecosystem now includes a budding new community in Singapore! While Neo Technology will always have a Swedish soul, we’ve already welcomed a number of nations to the worldwide graph of… Learn More →

Keywords: Big Data • graph database • High-Performance Computing • Internet of Things • neo4j 2.3 • Neo4j Community • opencypher • python • singapore developers • smart city

The Competitive Advantage of Graph Databases in the Enterprise

By Bryce Merkl Sasaki, Aspiring Graphista | November 16, 2015

“Big data” grows bigger every year, but today’s enterprise leaders don’t only need to manage larger volumes of data – they critically need to generate insight from their existing data. So how should CIOs and CTOs generate those insights? To… Learn More →

Keywords: Big Data • CIO • competitive advantage • cto • data model • fraud detection • graph database • rdbms • Recommendation Engine • relational database

Extending the Graph Database with Data Federation

By Bryce Merkl Sasaki, Aspiring Graphista | October 19, 2015

Editor’s Note: Pitney Bowes is a Bronze sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Paul and other sponsors in person. One of the exciting applications for graph is master data management (MDM). By incorporating a graph database… Learn More →

Keywords: Big Data • Cap Theorem • Cassandra • data federation • federated data • graph database • index free adjacency • Internet of Things • Master Data Management • MDM

CyGraph: Cybersecurity Situational Awareness That’s More Scalable, Flexible & Comprehensive

By Bryce Merkl Sasaki, Aspiring Graphista | October 15, 2015

Preventing and reacting to attacks in cyberspace involves a complex and rapidly changing milieu of factors, requiring a flexible architecture for advanced analytics, queries and graph visualization. Information Overload in Security Analytics Cyber warfare is conducted in complex environments, with… Learn More →

Keywords: Big Data • cyber warfare • cybersecurity • cygraph • data architecture • graph visualization • mitre • nosql database • security analytics • situational awareness

Graph Databases for the Greater Global Good [GraphConnect Preview]

By Bryce Merkl Sasaki, Aspiring Graphista | August 17, 2015

As we put the finishing touches on the GraphConnect San Francisco agenda, I’ve noticed a heart-warming trend I’d like to share with you. Several of the speakers scheduled for the conference on October 21st will describe how they use graph… Learn More →

Keywords: Big Data • Graph Databases • graphconnect • icij • international consortium of investigative journalists • monsanto • neo technology • neo4j • traceone • world economic forum

From the Neo4j Community: July 2015

By Bryce Merkl Sasaki, Aspiring Graphista | August 11, 2015

It’s apparent that Neo4j graphistas have been hard at work this summer, with lots of awesome videos, slides and articles being published. Here are some of our favorites that show off how amazing the community really is. If you would… Learn More →

Keywords: apache spark • Big Data • Graph Analytics • graphconnect • Meteor • microservices • neo4j • python • Spring Data

Graph Databases for Beginners: Why Data Relationships Matter

By Bryce Merkl Sasaki, Aspiring Graphista | July 31, 2015

We live in an ever-more-connected world, and data relationships, will only increase in years to come. If your business is to succeed in a highly connected world, you must learn to leverage those connections for all they’re worth – but… Learn More →

Keywords: Big Data • Data Relationships • graph database • graph model • Hadoop • neo4j • nosql • nosql database • rdbms • relational database

Graph Databases for Beginners: Why Graphs Are the Future

By Bryce Merkl Sasaki, Aspiring Graphista | July 24, 2015

So you’ve heard about graph databases and you want to know what all the buzz is about. Are they just a passing trend – here today and gone tomorrow – or are they a rising tide your business and your… Learn More →

Keywords: Big Data • database management system • graph database • Graph Theory • index free adjacency • mapreduce • neo4j • nosql • rdbms • relational database

Navigating the Complexity of Heart Failure Research with Neo4j [Community Post]

By Neo4j Community | July 21, 2015

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Life sciences deal with complex, dynamic systems composed of interconnected elements driving health and disease (e.g.… Learn More →

Keywords: Big Data • Bioinformatics • data analysis • data science • graph database • Healthcare • heart failure • life science • neo4j • Network Analysis

The Key to Understanding Big Data Lies with the Graph

By Neo4j Staff | May 29, 2015

Article originally posted to Wired.com by Emil Eifrem. Dr. Roy Marsten wrote in March that Graph Theory was a key approach in understanding and leveraging big data. As a advocate of graph theory and as a developer building graph databases… Learn More →

Keywords: Big Data • emil eifrem • Graph Theory

GraphConnect Europe: Managing Connected Big Data in Art with Neo4j

By Neo4j Staff | April 24, 2015

Big Data in Art with Neo4j This blog post deals with Big Data in Art with Neo4j. With the world of art as a use case, learn how to use Neo4j to do sentiment analysis, Big Data, colour analysis and… Learn More →

Keywords: Big Data • graphconnect • Neo4Art

(March Madness) <-[:MADE_SANE_WITH]- (Neo4j)

By Neo4j Staff | April 2, 2015

March GRAPHness Download all the code needed to try it out for yourself HERE, or check out the GraphGist HERE. March madness is a rare concord of well-documented data and pop culture. Warren Buffet’s billion-dollar bet grabbed the interest of everyone from… Learn More →

Keywords: basketball • Big Data • cypher • graph model • Load CSV • march madness • ncaa • neo4j • Pythagorean expectation • warren buffet

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Tag Archives: Big Data