An Introduction to Graph Analytics With The Kinetica Streaming Data Warehouse

MEET THE HOST: Genie Yuan, Senior Director – Customer Success, Kinetica The Kinetica Streaming Data Warehouse gives organizations up-to-the-second results that incorporate all their data in a powerful, unified data warehouse. In this Tech Talk, we’ll discuss Kinetica’s unique ability to combine graph analytics with historical, streaming, location analytics and machine learning. Kinetica enables organizations to simplify their infrastructure on a single platform and eliminate data movement, and costly integration with additional graph solutions. As a result, Kinetica can power transformational enterprise use cases such as vehicle routing, matching supply and demand, and fraud detection that take advantage of built in graph solvers and powerful querying capabilities along with real-time streaming data, geospatial analysis, and predictive models. IN THIS TECH TALK WE WILL COVER: An introduction to graph analytics The value of converging graph analytics with streaming, historical, and location analytics as well as machine learning with Kinetica Real-world use cases and non-traditional applications of graph analytics A demo of Kinetica’s converged graph capabilities