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Big Data In Standardization: Can This Fly?

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Logo of Open Source Geospatial Foundation (OSGeo)Open Source Geospatial Foundation (OSGeo)
 Baumann, Peter (Jacobs University)

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Big Data In Standardization: Can This Fly?
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95
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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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.