Category: Neo4j

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph database, complex queries may be executed that help both site administrators and site owners get a good understanding of how their users and visitors use the website or ecommerce store. Sure, the results are used to improve the predictions of recommendation engines. Gut with that knowledge, shop architects can also then optimize ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Karin Wolok, Neo4j Program Manager, Community Development & Enablement | September 17, 2018Reading time: 4 minutes 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 at the Stack Overflow office (28th floor) in New York City all day on Saturday, September 22nd. All Your GraphHack Questions AnsweredDo I need a GraphConnect ticket to attend? Nope. While the GraphHack is always ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding, a new GraphQL book, Thinking in Graph for security, and more! This week’s featured community member is Scott Sosna, Software Senior Principal Engineer at Dell EMC. Scott Sosna – This Week’s Featured Community Member Scott explores how to use Neo4j for traffic data, the London tube network, US government public disclosure filings, and ... Read More

Feed: Neo4j Graph Database Platform. Author: Rachel Howard. By Greta Workman, Neo4j | September 14, 2018Reading time: 1 minute You already know there are many exciting reasons you should attend GraphConnect 2018 – and, of course, we’ve got you properly jazzed on this year’s roster of must-see presenters (including our two most recently announced keynote presenters). But the best reason of all to buy the ticket and take the ride? A bottom-to-top plentiful and packed agenda of all the keynotes, presentations and lightning talks you can attend at the graph technology event of the year.See the full agenda right here ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Axel Morgner, Co-Founder and CEO, Structr | September 13, 2018Reading time: 4 minutes The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise Papers, as well as the West Africa Leaks, have shown that aggressive tax avoidance and money laundering are a widespread and worldwide problem. Money laundering often correlates with other illegal activities such as terrorist financing and corruption in politics and businesses, while tax avoidance leads to political and social tensions.Why Risk Management and Money-Laundering Prevention Is ImportantThe total volume of ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Weidong Yang, CEO, Kineviz | September 12, 2018Reading time: 4 minutes Love the buzzword or hate it, “big data” is an inescapable reality. Whether it’s for business intelligence or bioinformatics, recommendation engines or risk analysis, the volume, variety and velocity of data is only going to increase.Graph is an undeniably powerful tool for working with big data. Unfortunately, one of graph’s greatest strengths – intuitive visualization – is restricted by an essentially fixed resource: screen size. Even a large monitor only accommodates a few hundred nodes before the graph’s structure becomes ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Dan Williams, Product Manager, Cambridge Intelligence | September 11, 2018Reading time: 6 minutes Understanding big graph data requires two things: a robust graph database and a powerful graph visualization engine. That’s why hundreds of developers have combined Neo4j with the KeyLines graph visualization toolkit to create effective, interactive tools for exploring and making sense of their graph data.But humans are not big data creatures. Given most adults can store between 4-7 items only in their short-term memory, loading an overwhelming quantity of densely-connected items into a chart won’t generate insight. That ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Navneet Mathur, Senior Director of Global Solutions, Neo4j | September 10, 2018Reading time: 4 minutes Sweeping regulations are changing the way banks handle risk. The Fundamental Review of the Trading Book (FRTB) represents an important shift designed to provide a firm foundation for the future. While laws passed after the financial crisis offered a patchwork, the FRTB is a change that offers banks a motivation for putting in place a strong infrastructure for the future.In this series on the FRTB, we explore what it takes to create effective internal risk models ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. We (Jason and Jess) are the co-founders of Untitled Folder, LLC, a software development and consulting agency based out of Philadelphia. We help early-stage startups on their journey from an Untitled Folder of ideas to building a scalable Minimal Viable Product (MVP).In our spare time, we run a meetup called Philly GraphDB where we explore graph database technologies and share what we’ve learned with the community.How It Started While working with open city data in Neo4j, Jason and I discovered there was a lot of open public data freely available to anyone ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we learn how to model complex financial instruments, load streaming data into Neo4j, solve a Rubik’s cube, shuffle a pack of cards using random walks, and use Kettle as part of our ETL process. This week’s featured community member is Ron van Weverwijk, Data Engineer at GoDataDriven. Ron van Weverwijk – This Week’s Featured Community Member I first met Ron in 2014 at a Neo4j training ... Read More