The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban...

"Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning" von Valliappa Lakshmanan bietet eine umfassende Einführung in die Nutzung der Google Cloud Platform (GCP) für...