Optimization of workflows and processing speed often lead to the discussion of cloud processing. Of course, many traditional mapping projects can be processed using local machines. Networking them to facilitate distributed processing can speed things up even more, but there can be scenarios where cloud processing is desired. It is often thought of as a faster solution, but this is not necessarily the case. While your hardware costs on prem may be lower, they may not be lower than the fees associated with cloud processing. So, this begs the question: is it a good idea to process data in the cloud?
Vivian Raiborde, Senior Sales Advisor with SimActive and leader in cloud processing optimization joins host Eric Andelin to discuss the pros and cons of cloud processing.
Listeners will learn about the following:
• What cloud processing is , and what are the platforms
• Considerations in using cloud processing vs local
• Challenges and costs of associated with the cloud
• Processing time gains
Episode #6 How to Use Photogrammetry to Calibrate Sensors
Episode #5 Choosing the Right Camera for you Mapping Project
Episode #4 When Why and How to use RTK/PPK in Photogrammetry
Episode #3: The Benefits of Phase One's IIQ Format and its Integration in Correlator3D
Episode #2: Drone Vs Aircraft: Choosing The Right Platform For Your Mapping Project
Episode #1: Corridor Mapping for Infrastructure Using Drones
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