Big Geospatial Data Processing and Analytics
We can process and analyze massive data leveraging Apache Spark and Apache Sedona
Apache Zeppelin Notebooks integrated for exploratory analysis and visualization
Leveraging other Spark Ecosystem Tools like GeoMesa, GeoTrellis, MrGeo
In addition, we’ve used DuckDB Geospatial Extension
We work with in-database ML with PostgreML
No matter what your requirement we can assist you to achieve success
We work with Parquet/GeoParquet, Zarr/GeoZarr, Avro, Arrow, CSV/TSV
Data warehouses and Data Lakes and Data Lake Houses
We also work with Multi-dimensional datasets NETCDF and Zarr
We use Seek Optimized Zip Format and cloud native geospatial processing
We have experience with serverless functions (Azure functions and AWS Lambda)
Have also used Apache SeaTunnel
