Overture Maps Data provides a comprehensive collection of map data available in Parquet format. This project enables users to access and utilize geospatial data for various applications. The data is partitioned based on themes and types, facilitating efficient data retrieval. It primarily relies on Parquet for storage and efficient querying.
The data is organized in a cloud-native Parquet format, allowing for efficient storage and querying on platforms like Amazon S3 and Azure Blob Storage. It incorporates unique identifiers using the Global Entity Reference System (GERS) and optimizes spatial queries with a dedicated bounding box column. The data schema is aligned with the Overture Data Schema, ensuring interoperability.
- Cloud Storage: Data is available on Amazon S3 and Microsoft Azure Blob Storage for scalable storage.
- Parquet Format: Optimized for efficient storage and query performance, especially with geospatial operations.
- GERS Identifiers: Utilizes Global Entity Reference System (GERS) for unique and consistent entity identification.
- Spatial Indexing: Includes a
bboxcolumn for faster spatial queries and filtering. - WKB Geometry: Geometry is encoded in WKB format for efficient storage and geospatial calculations.
- Schema Alignment: Follows the Overture Data Schema for seamless integration with other Overture projects.
- Data Partitions: Data is partitioned by
themeandtypefor efficient data access.
The project is actively maintained with recent data releases and ongoing development. The data schema is well-documented, and a dedicated discussion forum facilitates feedback and community engagement. The project benefits from a strong community focused on improving and expanding the Overture Maps Data.
This project benefits data scientists, developers, and organizations requiring high-quality, cloud-native map data. It supports applications such as geospatial analysis, mapping visualizations, and location-based services. Compared to traditional map data sources, Overture Maps Data offers greater flexibility, scalability, and a standardized schema for improved interoperability.