(Im)prove your datacube skills!

The rasdaman datacube certification program is an expert training in Big Earth Datacubes. A wide range of topics is available - tap into the deep experience of the datacube inventors!

All courses offer practical hands-on sessions for an optimal learning curve, with ample room for questions and discussion.

Why Obtain a rasdaman Certification?

  • Knowing spatio-temporal datacubes today is an essential qualification for any geo expert and company.
  • Certification makes a difference: geo professionals enhance their career and salary opportunities; industry gets a proof of competence which can make the difference in vendor selection. A certification by rasdaman is an official, worldwide recognized proof of proficiency.

Learn from the World Leaders

The rasdaman team has invented datacubes, and rasdaman remains the world-leading high-performance AI-enabled datacube platform. Based on this, the rasdaman team shapes the ISO and OGC datacube standards.

The instructor, Prof. Dr. Peter Baumann, has decades of teaching experience honored by students with a Best Teacher Award.

 

Certification Courses List

Each course lasts one day.

Certification courses can be held in English or German.

  • Certified Datacube Expert

    • Objectives:
      • Understand concepts and terminology of datacubes
      • Understand the usefulness of semantically rich raster data management and analytics
      • Know about the relevant international standards
    • Contents covered:
      • Spatio-temporal datacubes: concepts and terminology
      • Why datacubes are better than just files of raster data
      • Common raster types as datacubes: ortho images, DEMs, thematic maps, etc.
      • Storage organization of datacubes: mosaicking, partitioning
      • Overview on automated data import
      • Relevant standards in ISO, OGC, and INSPIRE
      • Summary of lessons learnt
    • Prerequisites:
      • general geospatial data, GIS, and geo raster data know-how
  • Certified Datacube Client Expert

    • Objectives:
      • Know interaction principles for spatio-temporal datacubes
      • Able to customize the rasdaman dashboard for specific user groups with their visualization preferences and workflow patterns
    • Contents covered:
      • Interactive clients for WMS, WCS, etc: What is needed?
      • Third-party datacube clients: from Leaflet over QGIS to openEO
      • The rasdaman dashboard client
      • Dashboard deployment and basic configuration
      • Dashboard catalog
      • Dashboard widget types
      • Dashboard diagram types
      • Dashboard visualization types: map, heatmap, flow, etc.
      • Authentication
      • Summary of lessons learnt
    • Prerequisites:
      • general geo data and GIS know-how
  • Certified Datacube API Developer

    • Objectives:
      • Understand the ISO/OGC coverage data structure & service functionality
      • Develop standards-based Python, R, Java, and JavaScript coverage clients effectively
    • Contents covered:
      • Spatio-temporal datacubes: a programmer's perspective
      • The coverage data structure, in XML and JSON
      • Using Jupyter for coverage access and processing
      • The WCS API in Python and R, step by step
      • Using WCS and WCPS in Python and R
      • Using WCS and WCPS in C++ and Java
      • Working with server-side User-Defined Functions
        • UDF support in the rasdaman architecture
        • UDF definition in C++, Java, and Python
        • UDF security considerations
      • AI-Cubes: bring your own model to the datacubes
      • Summary of lessons learnt
    • Prerequisites:
      • general geo data and GIS know-how
  • Certified Datacube Manager

    • Objectives:
      • Able to set up and manage geo datacubes in rasdaman
    • Contents covered:
      • Geo data
        • Standards-based client access to geo datacubes
        • Geo data import: recipes & ingredients, hooks
        • Metadata management
        • Regions of validity
        • Date/time handling
        • Datacube pyramids
        • virtual coverages
        • Coverage blacklisting
      • Security:
        • Authentication through user/password, connecting external identity providers
        • Authorization through privileges, triggers and exemptions
        • Quota
        • Best practices
        • Summary of lessons learnt
    • Prerequisites:
      • general geo data and GIS know-how
      • Certified Datacube Expert
  • Certified Datacube Administrator

    • Objectives:
      • Understand key concepts of security, federation, and tuning in rasdaman
      • Able to manage and tune a rasdaman datacube service deployment
    • Contents covered:
      • Overview of the rasdaman distributed datacube platform architecture
      • Server management:
        • startup, shutdown
        • configuration and monitoring
      • Usage statistics and user-based billing
      • Federation:
        • Architecture support for federations
        • Configuration of federations
        • Security in federated environments
      • Storage tuning
        • Import vs register
        • Multi-dimensional tiling
        • Data compression
        • Storage layout language
      • Query tuning
        • query parallelization and distributed processing
        • Query optimization
        • Intermediate result caching
      • Summary of lessons learnt
    • Prerequisites:
      • Certified Datacube Manager
  • Certified Datacube Standards Expert

    • Objectives:
      • Understand the key concepts of datacube query languages
    • Contents covered:
      • Spatio-temporal datacubes: concepts and terminology
      • The Coverage concept for modelling datacubes
      • Rectified, Referenceable, and General Grid Coverages
      • Common raster types as coverages: ortho images, DEMs, thematic maps, etc.
      • The WCS coverage service standard: Core and extensions
      • Coverage Standards in ISO, OGC, and INSPIRE
      • Outlook on non-standard specifications: OAPI-Coverages, GeoDataCubes
      • Summary of lessons learnt
    • Prerequisites:
      • general geo data and GIS know-how
  • Certified Datacube Query Standards Expert

    • Objectives:
      • Understand the key concepts of datacube query languages
      • Able to phrase datacube queries in SQL/MDA or in ISO/OGC WCPS
    • Contents covered:
      • Overview: Query languages vs APIs
      • Standardization status
      • ISO SQL/MDA: Multi-Dimensional Arrays
        • Array model and query syntax overview
        • Array operators
        • Array constructors and condensers
        • Data formats
        • Application examples
      • ISO/OGC WCPS: Geo datacube queries
        • Coverage model and query syntax overview
        • Coverage operators
        • Coverage constructors and condensers
        • Data formats
        • Application examples
      • Summary of lessons learnt
    • Prerequisites:
      • general geo data and GIS know-how
  • Custom Certification

    • individual module combination (upon request)
    • Prerequisites:
      • depending on the choice of modules