Mo Sarwat
Mo is an assistant professor of computer science at Arizona State University and the CEO / Co-founder of Wherobots. He is the architect of Apache Sedona (a scalable system for processing big geospatial data) that is being used by major tech companies.
Sessions
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona provides a set of out-of-the-box Spatial Resilient Distributed Datasets and Dataframes that can efficiently load, process, and analyze large-scale spatial data across a cluster of machines. In the talk, we will give an overview of the Apache Sedona architecture. We will then demonstrate Sedona’ s Scala, SQL, and Python APIs to program analytics pipelines on-top of geospatial data. For more details about Apache Sedona, please visit the following links:
Apache Sedona website: http://sedona.apache.org/
Apache Sedona github: https://github.com/apache/incubator-sedona/
Speaker Twitter: https://twitter.com/mosarwat