Session

Iceberg Geo Type: Transforming Geospatial Data Management at Scale

Overview

ExperienceIn Person
TypeBreakout
TrackData Lakehouse Architecture and Implementation
IndustryEnterprise Technology, Travel and Hospitality
TechnologiesApache Spark, Apache Iceberg
Skill LevelIntermediate
Duration40 min

The Apache Iceberg™ community is introducing native geospatial type support, addressing key challenges in managing geospatial data at scale, including fragmented formats and inefficiencies in storing large spatial datasets. This talk will delve into the origins of the Iceberg geo type, its specification design and future goals. We will examine the impact on both the geospatial and Iceberg communities, in introducing a standard data warehouse storage layer to the geospatial community, and enabling optimized geospatial analytics for Iceberg users. We will also present a live demonstration of the Iceberg geo data type with Apache Sedona™ and Apache Spark™, showcasing how it simplifies and accelerates geospatial analytics workflows and queries. Finally, we will also provide an in-depth look at its current capabilities and outline the roadmap for future developments, and offer a perspective on its role in advancing geospatial data management in the industry. 

Session Speakers

Szehon Ho

/Software Engineer
Databricks

Jia Yu

/Co-founder and chief architect
Wherobots Inc.