Category: Neo4j
This Week in Neo4j: Announcing Graph Data Science 2.0 and AuraDS Releases!!!
Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. The big news this week for Neo4j was two major releases: Graph Data Science (GDS) 2.0 and AuraDS. GDS 2.0 brings a ton of new features, such as improvements to similarity algorithms, unified machine learning pipelines, and simplified graph projections using Cypher. Another big highlight in this release is a native Python client that allows you to establish a connection to your database and easily call GDS procedures without having to configure a driver or manage transaction functions. AuraDS is the new managed service for graph data science. Like AuraDB, it provides ... Read More
Cybersecurity: To Graph or Not to Graph. That Is the Query.

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. I think we can all agree that cybersecurity is one of today’s more acute concerns around the globe. After all, ransomware-related data leaks are up by 82 percent with a 40 percent overall increase in ransomware attacks during the pandemic. Identity theft increased by 42 percent in 2020 compared to 2019. The Healthcare industry spent $6 trillion due to security breaches. And 700 million records were exposed from one social media giant within 3 months in 2021. These statistics are alarming. But thankfully, technology is evolving to meet a universal demand to ... Read More
Pause Your Neo4j Aura Instance, Save 80% on Costs

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. Aura now has the ability to pause your database instance when it’s not in use. You can pause with just a click (on the paid tiers) and while paused, you only incur 20 percent of the regular running cost. Neo4j Aura, Neo4j’s cloud-native graph service, is designed to be always on for our most critical application needs. But many times, we don’t want our databases running 24 x 7 x 365. Suppose you need to use the instance only during daytime weekday hours, or you use it for development, testing, or training, ... Read More
This Week in Neo4j: Space Junk, SHACL, Neo4j Apps with Python, Under The Hood, Spring Data, and More Copy

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. You’ve probably heard about space debris and the growing risk of collision to satellites and space stations. According to Moriba Jah, who created ASTRIAGraph at the University of Texas at Austin, there are 26,000 trackable objects in space (excluding the smallest), of which only around 4,000 are currently working. Moriba collects information on orbiting objects by aggregating information from different countries, companies, other scientific researchers, amateur telescope astronomers, and more. The resulting graph identifies individual objects and their distances from each other. Enjoy this fascinating read on tracking space garbage! Cheers, Yolande ... Read More
Stefan Wendin With Stratazon’s Justo Boero Delbanco and Henrik Johansson

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman.
If you want to learn from experts in the graph space, you’ve come to the right place. The head of Neo4j’s Innovation Lab, Stefan Wendin, sat down with two executives at Stratazon, a Malmo-based international trade and development company that uses graph technology to develop valuable strategies and tactics for their clients. CEO Justo Boero Delbanco and CTO Henrik Johansson share how Stratazon uses the power of connected data to gain real-time insights into the customer journey and help businesses thrive without friction. As stated on their website, “At Stratazon, it’s ... Read More
16 Things to Consider When Selecting the Right Graph Database

Feed: Neo4j Graph Data Platform. Author: Enzo. Selecting the right graph technology for your organization can be daunting. In this blog, we’ll discuss what to look for in graph databases, related tools, and the vendors who sell and support them. Each vendor you consider should be able to explain how they address all these areas because they are crucial to your success with graph database technology. Native Graph Storage and Processing Native graph storage is fundamental to the integrity and performance of graph databases. It ensures that real-world relationships that connect graph nodes are stored as primary, persistent data elements ... Read More
This Week in Neo4j: ML on Graphs, Extraction Pipelines, Kubernetes, Cybersecurity, Knowledge Graph, and More Copy

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. There’s a wealth of fine content and varied perspectives on graphs in this week’s newsletter.
The not-to-miss articles include transferring unstructured text – including emails, news articles, and more – into a knowledge graph. We also show you how to use Neo4j to analyze data for your ML project.
Keep reading for a discussion about the uses of graph databases in cybersecurity, and don’t miss the piece on Kubernetes deployment with the Neo4j Helm chart. We also test the ability of knowledge graphs to represent domains of knowledge, exploring how a ... Read More
Solving Wicked Space Problems with ASTRIAGraph

Feed: Neo4j Graph Data Platform. Author: Enzo. Editor’s note: This presentation was given by Moriba Jah at Connections: Accelerating Innovation with Graphs in August 2021. My name is Moriba Jah, and I am an associate professor of aerospace engineering and engineering mechanics at the University of Texas at Austin, where I lead a transdisciplinary research program in space safety, security, and sustainability. With this blog, I am excited to talk about ASTRIAGraph and our very unique use of Neo4j to solve WICKED SPACE PROBLEMS! Let’s begin by taking a look at this graphic below. What you should be able to ... Read More
#GraphCast: Introducing Going Meta – Episode 1

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. 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, Deb Cameron, showcased how quickly you can get started with AuraDB Free with a three-minute video tutorial breaking down the basics so anyone with a computer – you don’t even need a credit card! – can turn their data into a graph. (Yep, three minutes… that is a solid condensed video offering!) This week I have the pleasure of introducing a new video series from our brilliant and ... Read More
This Week in Neo4j: ML on Graphs, Extraction Pipelines, Kubernetes, Cybersecurity, Knowledge Graph, and More

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. There’s a wealth of fine content and varied perspectives on graphs in this week’s newsletter.
The not-to-miss articles include transferring unstructured text – including emails, news articles, and more – into a knowledge graph. We also show you how to use Neo4j to analyze data for your ML project.
Keep reading for a discussion about the uses of graph databases in cybersecurity, and don’t miss the piece on Kubernetes deployment with the Neo4j Helm chart. We also test the ability of knowledge graphs to represent domains of knowledge, exploring how a ... Read More
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