Building Cloud based Geospatial Raster Service

🌟 Course Title: Building Cloud-Based Geospatial Raster Service

🚀 Headline: Unlock the Power of AWS Serverless Technologies to Deliver High-Efficiency Geospatial Raster Datasets

Course Overview:

This course is a deep dive into leveraging AWS Serverless technologies to efficiently distribute Geospatial Raster datasets. It's designed for professionals with a foundational understanding of GDAL/OGR, Cloud Computing (AWS), and Docker. While the course won't cover these topics in depth, it assumes a baseline level of familiarity to ensure you get the most out of the course material.

What You'll Learn:

• Serverless Architectures: Discover how to deploy geospatial services without maintaining a 24/7 running server.
• Geospatial Libraries: Utilize GDAL within AWS Lambda functions, transforming them into "GeoLambda" functions that bring Geospatial capabilities to the serverless environment.
• Optimization Techniques: Learn pre-processing methods to optimize raster datasets for efficient serving through Serverless services.
• API Development: Build and develop a RESTful API on AWS, tailored for Geospatial applications.
• Frontend Integration: Request and interact with raster datasets using frontend geospatial libraries.

Course Structure:

1. Introduction to Serverless Architectures:

   • Understanding AWS Serverless components and architecture.
   • Benefits of using serverless for Geospatial applications.

2. GDAL in Serverless:

   • Converting GDAL operations into Lambda functions (GeoLambda).
   • Enhancing the capabilities of serverless functions with GDAL's geospatial processing power.

3. Raster Dataset Optimization:

   • Techniques for optimizing datasets before serving in a serverless environment.
   • Best practices for data handling and performance considerations.

4. Developing a Geospatial Restful API:

   • Step-by-step guide to creating an API tailored for geospatial data access and manipulation.
   • Integrating AWS services with the API for seamless interaction.

5. Requesting Raster Data:

   • How to effectively request raster datasets from the cloud using frontend libraries.
   • Ensuring data is delivered quickly and efficiently to end-user applications.

Who Should Take This Course?

This course is ideal for GIS professionals who are experienced with Geospatial Technologies such as ESRI or Open Source tools and want to explore new methodologies in serving geospatial raster datasets. It's also beneficial for developers looking to integrate AWS serverless capabilities into their geospatial projects.

Important Considerations:

• While this course covers the integration of GDAL with AWS Lambda, it complements but does not replace traditional Geospatial Server solutions like MapServer, GeoServer, or ArcGIS Server.
• The choice between server-based or serverless approaches for geospatial services depends on various factors and project requirements.

Join Us on This Journey:

Embark on a journey to master the art of delivering geospatial raster datasets through AWS Serverless technologies. This course is your stepping stone to harnessing the full potential of cloud-based computing for Geospatial applications. 🌍🚀

Enroll now and transform your understanding of Geospatial Raster Service delivery in the cloud! 📚✨