Message from the TG Team
Happy first day of winter!
2021 has been an exciting year with over 3000+ engagement touch points in the community with over a thousand TigerGraph developers joining the community.tigergraph.com forum and Discord. There have been many new & existing TigerGraph developers that have taken the knowledge that they’ve learned and have given that knowledge back to others. TigerGraph is thankful to each and everyone of you that makes up the community!
Over the course of 2021 we’ve been listening to the community and there will be a lot of new additions planned to be release in 2022 to help new developers with their journey of learning TigerGraph & to showcase those actively building amazing projects! We’re really excited to announce these new additions so make sure you stay tuned to the weekly updates!
Gif Credit: Dan Barkus
Trending Topic: Graph-Powered Full Stack Applications and TigerGraphQL
This week, many people have been searching for graph use cases for full stack applications. Here are a few resources to check out! (Special thanks to Kevin Hsu for helping assemble the resources!)
TigerGraph Full Stack Course
This all-in-one guide teaches users how to analyze their data using TigerGraph Cloud to create full stack applications. Each component — the frontend, middleware, and cloud database — is meticulously detailed, resulting in a step-by-step journey to deploy one’s full stack app.
Full Stack TigerGraph Part 1
Create a graph-powered full stack application with TigerGraph and Node.js.
Deploy a Full Stack Application With No Code
Learn how to build a full stack application without code using TigerGraph and Streamlit.
TigerGraph’s Dash Class
This all-in-one guide teaches users how to visualize their data using TigerGraph and Plotly Dash. Each major component in the dashboarding process is meticulously fleshed out, resulting in an interactive, step-by-step journey to deploy one’s own dashboard.
Another popular topic was TigerGraphQL. TigerGraph GraphQL Service enables users to access graph data in TigerGraph using GraphQL queries. Users can use any GraphQL client or to simply submit GraphQL queries directly to the service in order to quickly access the graph data in TigerGraph. In the near future the service will also support data update operations via GraphQL mutations.
Latest How-To Videos
In this presentation by Aaron Regis, learn the benefits of putting graph analytics at the heart of your data operations.
In part three of the four-part series of creating a TigerGraph patent graph, learn about schema modeling and data loading in TigerGraph from Dan Barkus, covering topics including:
- What should you think about while designing your schema?
- How your data drives schema over use-case
- Data loading methods and advantages
This virtual round table will focus on how machine learning and graph analytics work together to increase threat detection accuracy, decrease alert fatigue and false positives. Speakers include Scott Heath, David Braun, and Michael Shaler. This covers:
- New reporting rules for cyber security and other impacts on compliance
- How to utilize watch list data and breach data in real-time with new technologies like master data matching, graph analytics, and machine learning.
- Capabilities in visualization and human intelligence technologies that will increase and provide valuable data analytics.
- How to implement practical methods of cyber identification, complex dependency, and case management using “human-in-the-loop” technology for higher accuracy and process streamlining
TigerGraph Inducted Into JPMorgan Chase Hall of Innovation
Each year, the prestigious JPMorgan Chase Hall of Innovation Award recognizes select emerging technology companies for their market innovation, business value, and disruptive product offerings, and this year, they selected TigerGraph. Read this blog by Emily McAuliffe to learn more!
[Jan. 5] Graph Gurus Webinar Series - TigerGraph 101: Querying and Beyond - Part IV
Join the final webinar of a four-part series on TigerGraph 101 by Dan Barkus.
Part 1 - Intro to Graph and TigerGraph (November 17 - 10 AM Pacific)
Part 2 - Data Acquisition and Graph Prep (December 1 - 10 AM Pacific)
Part 3 - Schema Modeling and Data Loading (December 15 - 10 AM Pacific)
Part 4 - Querying and Beyond (January 5 - 10 AM Pacific)
Cool Data Sets
What is Christmas really about? Presents? Mariah Carey’s “All I Want for Christmas is You”? Create a graph, leverage natural language processing, and find out!
Get in the holiday spirit by cooking the legendary Christmas recipes hidden in the depths of the Internet. Create a graph to identify recipes you can make given certain ingredients or cook up a different crazy food-related graph with this dataset.
Christmas Gifts in Romania
What are some of the most popular and best gifts to give your Romanian friend? Build a graph with this dataset to find out!