TigerGraph Community: September Updates
Hello TigerGraph Community! Here’s the September Developer Update. So take a five-minute break, grab a snack, and scroll through the topics below.
We’re in the middle of our Graph + AI Summit. Last week, we hosted a live and virtual event in San Francisco with leaders from Gartner, Optum, Dell, AWS, Intuit, and many more! You can watch all the videos here. On the 7th, we hosted a Virtual Academy with topics:
- Graph Data Science Algorithms for Analytics and Machine Learning
- Graph Algorithms and Use Cases – A Survey
- Introduction to the TigerGraph In-Database Graph Data Science Library
- Using Graph Embeddings and Hardware Acceleration to Fight Financial Fraud and Improve Healthcare Recommendations
On the 8th, we had pioneers in Graph explain, The Past, Present and Future of Graph Query Languages, the GQL Standard Panel, why it matters and why you want to be an early adopter. The 12th is our Partner Day, on the 13th we have our Cloud Day with so many interesting topics- like how to use Google Vertex AI and TigerGraph, and on the 14th, all day long, we have a series of Developer Workshops. We’re ecstatic about this because if you go through our Developer Workshop, you’ll get a certificate and learn:
- 7:00 to 7:30 AM: TigerGraph: Welcome + TigerGraph’s Developer Community Overview (🐯 Jonathan Herke 🐯 & Xinyu Chang)
- 7:30 to 8:30 AM: Introduction in TigerGraph: TigerGraph 101 (Daniel Barkus TigerGraph)
- 8:30 to 9:30 AM: TigerGraphBest Practices (Design, Schema, Query) (Xinyu Chang)
- 9:30 to 10:30 AM: TigerGraph and Kubernetes Deployments: Kubernetes and TigerGraph Explained and a hands-on deployment. (Chengjie Qin & Wenbing Sun, TigerGraph)
- 10:30 to 11:30 AM: Practical Solutions Architecture in TigerGraph (Wyatt Joyner, TigerGraph)
- 11:30 to 11:45 AM: Break
- 11:45 to 12:45 PM: Hands-on with the TigerGraph Graph Data Science Library and Python (Parker Erickson, TigerGraph)
- 12:45 to 1:45 PM: Introduction to TigerGraph & Visualization (Shreya Chaudhary, TigerGraph & Advit Deepak, TigerGraph)
- 1:45 to 2:45 PM: 101 Full-Stack App w/ TigerGraph (Kevin Hsu, TigerGraph)
- 2:45 to 3:45 PM: Social Networking and AMA Closing Session (🐯 Jonathan Herke 🐯, TigerGraph)
Also, for each session you attend, you’ll get a raffle and at the end, we’ll raffle a Surprise Swag Bag.
Coming up, on the 14th at 6:00 pm EST, you’ll be able to watch WeCloud Data + TigerGraph’s Workshop on Graph’s Influence on the Power Grid Usage in New York: Hands-On Workshop.
A few more awesome events to check out:
- Super-Powers for Complex Operations with Graph Analytics
- Tech Talk w/ TigerGraph – How to use a graph database to find your dream job
Last, we introduced a few of our University Hackathons- we’re excited to announce our winner for our Northeastern Hackathon! Dennis Cheng built out a graph with ramen noodles and you can see his Readme here and watch his video walkthrough here and here.
You can still participate in our San Jose State University and UCLA hackathons the rest of the month. We have additional hackathons coming up so stay tuned. If your company or university wants to participate, please email [email protected] and let us know.
This month we’re featuring Deepti Soni, a Consulting Analytics Specialist at Mastech InfoTrellis.
Tell us about yourself:
Where do you work? What do you do? What are your favorite things about your job? I am working as a Senior Data Science and Analytics Advisor in Mastech InfoTrellis. We design and implement AI/ML based algorithms to derive value in our clients’ data when solving their complex business problems. There are many things I love about being a senior data scientist and analytics advisor at Mastech Infotrellis. One of the most important ones is our collaborative environment. We truly have a positive work environment where everybody is there for each other. It’s great to learn from my colleagues, and even more rewarding when I know I’ve helped others in solving challenging first-of-a-kind problems.
How did you learn about TigerGraph? I first read about TigerGraph in one of the articles published by Gartner on graph databases.
What are some of the use cases you’re using TigerGraph? For many of Mastech Infotrellis’ clients, I am architecting knowledge graph and ML-based models/solutions using TigerGraph for multiple use cases, such as graph-based MDM, anti-fraud, and money laundering, predictive analysis, credit scoring, listing information mining, unifying data silos for enhanced Customer intelligence, etc.
What are your favorite things about TigerGraph? We work with a few graph database providers. TigerGraph is one of the few providers of distributed native graphs. In simple terms, TigerGraph is easy to learn/use, scales up easily as data grows, and supports fast multi-hop traversals which is very beneficial for analytics use cases. I also appreciate that the people behind the TigerGraph DB are very supportive and welcoming.
Can you share some of the most complicated use cases where you’re using TigerGraph? If so, what are they? At Mastech InfoTrellis, when we architect event-driven databases, we have a set of AI accelerators that help in implementing complex business solutions rapidly and systematically. In one of the implementations of anti-money laundering, ML models based on the initial dataset were generating a high number of false positives and negatives. The data was in many silos, in different languages, had a variety of transaction formats and thus making the investigations expensive. With the help of our AI accelerators implemented on TigerGraph, we enriched the data and uncovered previously unknown insights. The connections found through the social links of entities established indirect relationships and thus resolved entities more accurately. TigerGraph provided faster pattern detection on such a massive amount of data of connected people, companies, their transactions and payment chains, etc. in the underlying network. With our solution the client was able to reduce costs associated with fines and with investigating false positives and false negatives.
Tell me about your experience in the Developer Community- we really appreciate how much you contribute to others learning TigerGraph and helping to answer their questions. TigerGraph’s developer community is very active and has many channels such as community forums, Discord, and Slack, etc. to reach out for help. I try to help community members by answering their graph modeling, GSQL, and application-related questions. I’ve trained a few resources on TigerGraph in some of our client teams and also at Mastech InfoTrellis. I also shared my learnings/experience in Graph+AI summit 2020.
Thank you, Deepti, for all your contributions to our community. We appreciate your mentorship to so many in our community!
This past month, we had our 3.2 product release with many new features. One of the new releases was new algorithms! Some of these, such as Shortest Path and PageRank, have several variations, so the total number is over 50.
We’ve hyperlinked them all out for you below:
Topological Link Prediction
Frequent Pattern Mining
Decision Trees in TigerGraph, Parker Erickson
An Introduction to Graph Machine Learning, Keras and TigerGraph
TigerGraph Powers a New Class of Member-Centric Analytics for Personalised Health Insurance, Charlie Beveridge
Utilizing Graph Technologies to Connect Employees by Optum Intern McKenzie Steenson
From Learning Python to Building a Graph Recommendation System by Optum Intern Kristine Zheng
If you have a blog you’ve written about TigerGraph, please submit it here and we’ll feature you in one of our newsletters.
We launched our TigerGraph and University Program for university students to get practical TigerGraph experience, which will help create more job opportunities. TigerGraph offered “TigerGraph Thursdays”, where university students went through three mini-courses with short quizzes to get practical TigerGraph experience. Once students pass, we’re going to put their names on our university page for future customers wanting TigerGraph experts. After the three-part series, we’ll hold two conversational types of webinars where students can learn what it takes to get a job at TigerGraph or one of our customers. Below are all those that have passed the University Certification already!
Pamela Nelson, UCSD
Thy Nguyen, UCSD
Vinay Bhupathiraju, UCSD
Jiahe Jeffrey Feng, UCSD
Jinxin Xiao, UCSD
Pranav Deshmane, UCSD
Riya Mhatre, UCSD
Sanborn Nguyen, UCSD
Thank you again for all your involvement in the TigerGraph Developer Community. Keep up the great work! We’ll continue to share all your unique use cases, tools, blogs, courses, and more weekly on our Discord Channel. As mentioned above, please provide your past contributions to our Community Contribution Program and we’ll send you prizes. Stay tuned for more information. Have a great month!
- Here are a few helpful links:
- Find Community Members
- Developer Chat
- Developer Community
- If you have a cool idea for a Graph Project, please submit it here.
- If you have a way to improve the community, please submit it here.
- If you have a feature request, please submit it here.
- To stay up to date with what’s happening daily, join the community forum and developer’s chat!