Category: NoSQL Databases

Feed: Blog – ArangoDB. Author: Christopher Woodward. This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the ArangoDB NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: Briefly introduce NetworkXExplore the IMDB user rating datasetShowcase the ArangoDB integration of NetworkXExplore the centrality measures of the data using NetworkXStore the experiment with arangopipe Going forward, the ArangoML Series will no longer be numbered. Parts 1-4 deal with the same housing dataset and focus on introducing some core machine learning concepts. We ... Read More

Feed: SingleStore Blog – MemSQL is Now SingleStore. Author: Domenic Ravita. Business is about serving the needs of customers. But customer expectations are changing quickly, and most organizations are not truly aware of how fast that’s happening. Most businesses are moving in slow motion relative to their customers. That means they miss out on opportunities to make decisions about and act on the moments that matter. In the past, lag time was accepted. Nielsen called people on the phone to understand their TV viewing habits. Broadcast TV networks set advertising rates and advertisers gauged viewership based on Nielsen ratings. It ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Joe Norman. By Joe Norman, Partner Solutions Architect at AWSBy Vish Kale, Sr. Partner Solutions Architect, Contact Center at AWSBy Lauren Hakim, Product Marketing Manager at Zendesk Zendesk and VoiceFoundry released the Amazon Connect app on the Zendesk Marketplace earlier this year as part of a broader vision for the intelligent contact center of the future. The Amazon Connect app for Zendesk combines Amazon Connect’s highly scalable, pay-as-you-go, advanced contact center capabilities with Zendesk’s sophisticated ticketing and customer support system. The app also provides customers with access to the entire suite of artificial ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. More people than ever have important data in a graph. So how can they view that data in their favorite BI tools?The Neo4j BI Connector delivers direct access to Neo4j graph data from business intelligence (BI) tools such as Tableau, Looker, TIBCO Spotfire Server and Microstrategy. It’s the first enterprise-ready, supported product to deliver connected data results to BI users avoiding coding, custom scripting and ungoverned access.In this second blog of our five-part series on the BI Connector, we cover how it can assist you in rooting out money laundering, aiding in ... Read More

Feed: Redis Labs. Author: Paul Bushell. Most years, when the weather turns cold, tens of thousands of cloud computing professionals around the world get busy booking tickets to Las Vegas for AWS re:Invent for a few days of cloud-centric networking, learning, and partying. Like just about everything else this year, though, AWS re:Invent 2020 is going virtual—but that doesn’t mean it’s not going to be amazing!  Because re:Invent is online this year, that means it’s completely free—hundreds of thousands attendees will join for their first re:Invent ever, so there’s no reason not to attend! As a Gold Sponsor for this ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.Last time, our Managing Editor, Jocelyn Hoppa, guided us to a short and sweet video on pathfinding algorithms.With shopping for cheerful gifts on my mind, I chose “Tableau Talks to Neo4j in Real-Time with the Neo4j BI Connector,” a behind-the-scenes look at a very graphy use case: product recommendations. In this short video, ninja architect David Allen feeds live graph data from Neo4j into Tableau, thanks to the Neo4j BI Connector. David ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Graph approaches to data are exploding. In the commercial world, graph-based analysis is used to explore deeper meaning in data you already have, improve forecasts and make better predictions.This accelerating use in business is due to the increasing connectedness of data, breakthroughs in scaling graph technology to enterprise-sized problems, excellent results when integrated with machine learning (ML) and artificial intelligence (AI) solutions, and more accessible tools for general analytics and data science teams.In this blog, which reflects Chapter 1 of Graph Data Science For Dummies, you discover how we define a graph ... Read More

Feed: Matillion. Author: Julie Polito; Database technology has changed and evolved over the years. Relational, NoSQL, hierarchical…it can start to get confusing. Storing data doesn’t have to be a headache. If you’re trying to pick the right database for your organization, here’s a guide to the properties and uses of each type.What are the types of databases?1. Relational databases Relational databases have been around since the 1970s. The name comes from the way that data is stored in multiple, related tables. Within the tables, data is stored in rows and columns. The relational database management system (RDBMS) is the program that ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. The challenge of visualizing time-based data has kept academics and data scientists busy for years. How do you give users the ability to filter and summarize time-based connected data without overwhelming them? What’s the clearest, most intuitive way to reveal how events unfold? What if the time element holds the insight that unlocks everything else? The time bar lets users quickly spot how connected data evolves over time. While building the time bar – our KeyLines and ReGraph component for visualizing dynamic networks – we spent a lot ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. We are happy to announce the all new Spring Data Neo4j 6.0.Spring Data Neo4j version 6 (or shorter SDN 6) is built on the foundation of SDN/RX that got released earlier this year. It is the successor of SDN 5 (with Neo4j-OGM) and RX.The Spring Data module has some history and went through several major changes. For about four years now it followed the Spring Data JPA principle: Using Spring Data as a thin layer to orchestrate an underlying object mapper.While Neo4j-OGM is quite flexible, it comes with a price. It does ... Read More