Happy St. Patrick’s Day, @TigerGraph_Community!
TigerGraph Ranked One of Top 10 Most Innovative Companies by Fast Company!
Presented by Women Who Code and Tigergraph
Speakers: McKenzie Steenson and Kristine Zheng
Topic: Shopping with Graphs! - Learn Rising Graph Database Technology for Full-Stack Flutter Application
In this two part series, we will discuss utilizing TigerGraph’s platform to showcase data relationships and application integration. Using an Amazon product reviews dataset, we will build a full stack application with graph technology. Graph databases, including TigerGraph, are used everyday for recommendations with internet searches, Netflix shows, and social media connections as well as fraud detection, customer360, IoT, AI and ML to make sense of ever-changing big data. These relational databases are extremely powerful for deep analytics with a flexible schema and scalability.
In the panel, accomplished experts from the field of Big Data will share with us how the future of data is being shaped by graph analytics and how leading organizations from a variety of industries leverage this technology.
The panel will consist of:
- Markus Franz, Chief Technology Officer at Ippen Digital
- Sepideh Jahangiri, Customer Engineer - Data Analytics at Google Cloud
- Ahlem Mustapha, Technical Engineer at TigerGraph
- Moderation: Mina Saidze, Founder Inclusive Tech & Data Evangelist
A good graph schema design represents important relationships in a natural way, while also minimizing system resource consumption and enabling the best query performance. In this session, you will learn:
-What to think about when defining a graph schema
-How to define a schema that can make your query writing easy
-How to define a schema that can accelerate your query performance
-How to define a schema based on specific use cases
[Tuesday, March 15th] Tampa Cybersecurity Conference
As security experts in the local community continue to navigate the ever-changing landscape, you can ensure you’re on the leading edge by joining your peers at the Tampa Cybersecurity Conference. Sit alongside fellow IT and cyber executives as you hear from experts in both the public and private sectors, offering vital information on how to move your organization through the latest threats.
[Wednesday, March 16th] Introducing ML Workbench: A Faster Way to Build Graph Neural Networks with TigerGraph
TigerGraph’s new Machine Learning (ML) Workbench is a Jupyter-based Python development framework that enables data scientists to quickly build powerful deep learning AI models using connected data.
Attend this webinar and learn about:
- Overview of GNN, its applications, and benefits
- Demo of ML Workbench
[Wednesday, March 16th - Thursday, March 17th] Fraud & Financial Crime USA
Exploring new complexities in the fraud and financial crime landscape and best practices to stay ahead.
[Tuesday, March 22nd] How To Navigate Graph Data Science: A Roadmap
Come join Dr. Victor Lee to learn how you can get started with graphs and develop the right mental model for thinking in and using graphs.
[Wednesday, March 23rd] GSQL Schema Design & Query Writing Best Practices: Part 2
Part 1 recording linked under Latest Videos
GSQL is a user-friendly, highly expressive, and Turing-complete graph query language. Although learning GSQL is relatively easy, it can be challenging for some users to know where to start when writing a query.
In this session you will learn how to:
- Design a traversal plan with optimal complexity
- Make your queries memory efficient
- Identify the performance bottleneck
- How to choose the right accumulator
- Learn the MPP query execution mechanisms
[Wednesday, March 30th] Connect the Dots in Complex Distributed Data
How to Use Graph Databases for Better Analytics and Faster Business Insights
Attend this webinar and you will discover how to:
- Use graph technologies to rapidly analyze thousands of data sources with millions or billions of elements.
- Answer complex questions about relationships in large data sets.
- Increase speed of queries, improve business outcomes, and save money.
Office Hours - Million Dollar Challenge
Every Tuesday at 7:00 am Paciﬁc and Thursday at 6:00 pm Paciﬁc from February 10 to April 14th
Talk directly with our engineers every week on Discord. During our online ofﬁce hours, you get answers to any questions pertaining to your Graph for All Challenge project, graph modeling, GSQL programming, and more.
Trending Data Sets
Crude Oil Price
Monthly crude oil price from 1983 to present
Netflix daily top 10
Netflix Daily Top 10 Movie/TV Show in the United States from 2020 - Mar 2022
Million Dollar Challenge
We’ve got a million-dollar question: what can you do with graph? Share your graph solution for a global issue with TigerGraph, for a chance to win one of 15 cash prizes, totaling $1M!
Mark your calendars: Submissions are due by April 20, 2022
To register and learn more, visit
Graph for All Million Dollar Challenge - TigerGraph
Join the DevPost!