Platform Architecture

• Supports various file formats available in GDAL, including general data AWS S3, Parquet, CSV, TXT, ZIP File and spatial information data (SHP, GDB, GeoJSON, KML, TIFF, etc.).

• Supports data connection and data import with Data Warehouses & Lakes (Apache Hadoop, Google BigQuery, Amazon Redshift, etc.) and RDBMS (MySQL, SQLServer, PostgreSQL).

• Data loaded into the GPU DB can quickly obtain analysis results through GPU distributed processing, and spatial information (Point, LineString, MultiPolygon, etc.) can be created as an image using Geospatial Render and displayed on a map.

• Can be used for machine learning (ML)/AI by linking with Jupyter, and data can be analyzed efficiently by linking with BI (Business Intelligence) tools.