Big Data In Standardization: Can This Fly?

Peter Baumann (Jacobs University)

12:00 on Thursday 19th September (in Session 7, starting at noon, Sir Clive Granger Building: A39)

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Description: We discuss standards in OGC, ISO, and INSPIRE to find out whether they support or inhibit scalable spatio-temporal services.

In geo data, a main footprint coming from Big Data stems from remote sensing, atmospheric and ocean models, and statistics data. In the strive for interoperability, standardizaiton bodies establish interface specifications for large-scale geo services. Are these standards really helpful, or do they inhibit performance? We investigate this and show both positive and negative examples, based on OGC, INSPIRE, and ISO standards relevant for scalable geo services.