TigerGraph 101 - Part Three - Schema Modeling and Data Loading

Presented by

Dan Barkus, TigerGraph Developer Advocate

About this talk

Now is the best time to learn the fundamentals of graph and take advantage of the next frontier for data science and analytics. Watch part 3 of our 4-part series, which covers Schema Modeling and Data Loading: - What should you think about while designing your schema? - How your data drives schema over use-case - Data loading methods and advantages Resource list and the slide deck here: https://bit.ly/3kRz0Tw Coming up... Part 4 - Querying and Beyond
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (14)
Subscribers (217)
TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, data operations, digital twin, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. This channel showcases TigerGraph's technology and how it helps organisations tap into their data to gain key insights into the business decisions and processes driving innovation, growth and cost optimisation. For more information visit www.tigergraph.com