Join the Galvanize Tech Community to get directly plugged into our fast-growing community of engineers, data scientists, students, and more. Galvanize: Galvanize is a technology ecosystem for learners, entrepreneurs, startups, and established companies that meet the needs of the rapidly changing digital world. Join Graphistry Community Community Partners: Explore data with the low-code UI, run from your favorite data science notebooks, and embed it into your own apps. ![]() Graphistry: Visually investigate the relationships in your data with the only GPU-accelerated visual graph analytics platform. Turn data scripts into shareable web apps in minutes. Streamlit: Streamlit is the fastest way to build and share data apps. Talk with TigerGraph Engineers on the Community Forum.Join TigerGraph Chat to talk with other Developers.Winners have the opportunity to participate in showing off their project in front of 6,000 people and 100+ large companies. Having graph database experience combined with the knowledge of building GUIs (Graphical User Interfaces) can add tremendous value to you. Build your network of developers as you join the community and begin your graph education! ![]() Add this project to your resume and bring new job opportunities to you! The graph database market is high in demand with a very low supply of developers. $15,000+ worth of prizes available including exclusive prizes that can only be won through a TigerGraph Hackathon. Have questions? Join our open developer hour: Submission Requirements and Getting Started Videos Below We challenge you to use one of these Starter Kits and build something that is creative, helps communicate a story of the data in the starter kit by using Streamlit as a Graphical User Interface alongside using visualization tools such as Graphistry and Plotly. TigerGraph Cloud Starter Kits (25+ Options or create your own) are built with sample graph data schema, dataset, and queries focused on a specific use case such as Fraud Detection, Recommendation Engine, Supply Chain Analysis, and/or a specific industry such as healthcare, pharmaceutical, or financial services. ![]() ![]() Skills Required: Basic Python THE CHALLENGE TigerGraph by itself, however, is not enough - Developers need more and better web-based apps to provide the human interface to steer and display these insights. This means that graph databases can enable organizations to uncover insights in their data that would otherwise remain hidden.Īmong graph databases, TigerGraph is the fastest and most scalable. Their ability to store the relationships between data, along with the data itself, makes them one of the hottest trends in data and analytics. Graph databases are the answer for connected data. After all, not everyone thinks like a data scientist. To fully realize this potential, however, these insights must be presented in ways that humans can easily understand. From making personalized recommendations to fighting financial crimes, from improving supply chains to tracking and predicting the spread of COVID-19, uncovering insights in connected data has never offered greater possibilities. TIGERGRAPH APP HACK: FEB 22 - MAR 22, 2021Ĭonnecting and analyzing the deluge of data is creating unprecedented opportunities.
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