GEOSPATIAL ANALYTICS WITH DATABRICKS

FROM ZERO TO HERO IN 2 DAYS

Live, 4x half-day, instructor-led training
Next event: 13-16 October, 2025
14:00-18:00 CEST/13:00-17:00 BST/8:00-12:00 EDT

GEOSPATIAL ANALYTICS WITH DATABRICKS

FROM ZERO TO HERO IN 2 DAYS

Live, 4x half-day, instructor-led training
Next event: 13-16 October, 2025
14:00-18:00 CEST/13:00-17:00 BST/8:00-12:00 EDT

LEVEL UP YOUR GIS SKILLS

This training is for you if:

 
  • Your work involves managing and understanding GIS data
  • You understand geospatial analytics basics but want to put theory into practice
  • You want to uncover new ways of using GIS data for smart solutions
  • You are new to the Databricks Data Intelligence Platform and want to leverage its capabilities to work with geospatial data
 

In our Geospatial Analytics training, you’ll learn about:

  • Fundamentals of geospatial data and analysis (data types, file formats, transformations, GeoPandas).
  • How Databricks fits into the landscape of a geospatial data stack.
  • How the H3 spatial index helps join billions of geometries.
  • Practical use of the various tools available within a real-life use case scenario.
  • Using the Mosaic library and visualizing data with Databricks.
  • Large-scale geospatial data processing with Spark, Combining Raster and Vector data.
    Data Architecture Best Practices for Databricks - DATAPAO's free webinar for Data Architects and Senior Data Engineers

    Training outline

    Module 1

    Fundamentals of geospatial data and analysis

    • Geospatial data types and file formats
    • Geometries and transformations
    • Reading, transforming and writing data with GeoPandas and Rasterio
    • Perform analytics using GeoPandas

    Module 2

    Sample use case implementation

    • Sample use case: identifying green areas in cities
    • Reading and visualizing satellite data
    • Analyzing NDVI map data
    • Performing spatial clustering

    Module 3

    Scaling of geospatial workloads

    • Spatial indexing using H3
    • Distributed computing using Apache Spark
    • Introduction to the Mosaic library
    • Visualizing data with Databricks
    • Applying the Lakehouse principle with geospatial data

    For more info, download the brochure

    DOWNLOAD

    REGISTER FOR THE UPCOMING TRAINING

    $1,200+VAT (if applicable) per participant.
    Group discount: 10% for 3 or more participants.
    Capacity is limited to 15 participants.

    Data Architecture Best Practices for Databricks - DATAPAO's free webinar for Data Architects and Senior Data Engineers

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