Improve Your Cybersecurity Posture with Graph Database Technology
With the continued proliferation of cybersecurity threats and attacks, one of the most important things you can invest in as a business is cybersecurity automation
Scraping Web Data into TigerGraph with Tor
by Linxiu Jiang originally posted on Medium 1. Introduction This blog will introduce the scraping demo I have recently done, and drill into some interesting
Jaguar Land Rover Increases Supply Chain Planning Velocity with Graph — And Wins CIO 100 Award for Impressive Results
By Yu Xu, TigerGraph CEO & Founder I am very pleased to extend my congratulations to Harry Powell, Director of Data and Analytics at Jaguar
Exploring Reddit Marketing Networks with Graph Databases
Can we discover astroturfing, marketing, and self-promotion networks using graph databases? Originally posted by Daniel Ward on Medium. Exploring Reddit Marketing Networks with Graph Databases
Building a TigerGraph Wrapper
A Brief Guide on How to Build a Wrapper for TigerGraph for Any Language Originally featured on Medium by Shreya Chaudhary What is TigerGraph and
Ultimate IoT streaming Demo with Node-Red and TigerGraph
by Mohamed Zrouga, Developer Advocate, TigerGraph According to Gartner IoT market size will rise to 5.3 billion by 2025. And given the variety of devices out
Integration Testing with TigerGraph
CI/CD with Docker, and GitHub Actions for a TigerGraph-backed Gradle application. by David Baker Effendi This blog was originally posted on Medium CodeX Integration testing
Modelling Opioid Data with pyTigerGraph
Written by Shreya Chaudhary, originally posted on Medium. What is pyTigerGraph? pyTigerGraph is a Python wrapper for TigerGraph. With it, one can integrate the power
Understanding Graph Embeddings
A sample of customer data in a knowledge graph and the embedding vector attached to the graph. by Dan McCreary, Distinguished Engineer in AI and
Modeling Healthcare Data with Graph Databases
Using TigerGraph and Synthea to Create a Synthetic Healthcare System by Akash Kaul, originally posted on Towards Data Science Introduction Since the transition from paper
Enterprise Knowledge Graph Trends for 2021
Originally posted on Medium by Dan McCreary, Distinguished Engineer, Optum. This is my third annual post on Enterprise Knowledge Graph (EKG) trends. You can also
Creating a Discord Chat Bot with pyTigerGraph
Creating a Chat Bot to Answer TigerGraph Questions with Discord.py and pyTigerGraph by Shreya Chaudhary What is the Project and Why Complete it? A potentially
Add Graph to Your 2021 Resolutions
Happy new year! Here’s a selection of our best webinars, workshops and conference presentations from 2020, along with our most popular blog articles – there’s
What Are the Major Advantages of Using a Graph Database?
A graph database is a data management system software. The building blocks are vertices and edges. To put it in a more familiar context, a
Sink Your Teeth Into FIBO with A Native Parallel Graph Database
Authored by TigerGraph Solutions and Engineering Financial institutions have massive volumes of highly interconnected and structured data, which they need to ingest in real time
Leveraging Geospatial Data with a Native Parallel Graph Database
Paradigm Shift Enables TigerGraph to Uncover Hidden Insights from Geolocation Data Have you wondered how you can add and leverage geospatial data to your applications?
Introducing TigerGraph Cloud: The Fastest and Most Complete Graph Database-As-A-Service for Everyone
Today we are proud to introduce TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud. As
Building a Graph Database on a Key-Value Store?
by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph
Crossing the Chasm – Eight Prerequisites For A Graph Query Language
Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today:
