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
Building a Custom Fraud Detection Dashboard
Creating a full web-app using Plotly Dash and TigerGraph Introduction In this blog, you’ll see some of the steps necessary to create a full fraud-detection
Introducing TigerGraph 3.1
by Rayees Pasha, Product Manager, TigerGraph On December 2nd 2020, we announced the general availability release of TigerGraph version 3.1. In this blog, we would
Graph-based Identity Resolution at Scale
by Chinmay Nerurkar originally posted on Medium One of the main drivers of the AT&T, WarnerMedia and Xandr success story is the synergy derived from
Using API Data with TigerGraph
Why Does This Matter? Unfortunately, not all data on the Internet comes in nicely packaged CSV files. In fact, frequently, one might want to use
The God Graph – How EKGs and Systems Thinking Can Make the World Better
Originally posted on Medium by Dan McCreary. Follow him on LinkedIn. Recent developments in distributed graph database technology have created a Cambrian Explosion in the
Getting Started with TigerGraph 3.0
Everything you need to know to create your first graph database using TigerGraph’s GraphStudio What is GraphStudio? GraphStudio is a streamlined graphical user interface built
Developers Show Up In Droves to Participate at TigerGraph’s First Ever Graphathon
Developers from around the world (52 Countries) flocked to the TigerGraph Graphathon with many submissions that blew TigerGraph staff away. Check out a few of
Deploy a Full Stack Application With No Code
Launching a dashboard to visualize South Korea Covid-19 Data using TigerGraph, Streamlit, and Google Colab Originally posted on Medium by Akash Kaul and Rohan Shiva
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: