{'fraction_non_alphanumeric': 0.033930254476908575, 'fraction_numerical': 0.0, 'mean_word_length': 5.247058823529412, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Grooming big data from afar

Flexible, scalable services on massive geo data receive much attention today. In particular, the OGC Web Coverage Service (WCS) standards suite has established a best practice for versatile access and retrieval on spatio-temporal "Big Data". Fewer efforts have been devoted, though, to an easy-to-use, standardized way of maintaining a service's offering. Our experience from supporting a series of heterogeneous, large-scale services reveals that this can become tedious indeed, due to heterogeneity and incompleteness of incoming data, operator-less transformation and ingest of large amounts of files, as well as the need for narrowly focused manual corrections and updates sometimes. In this contribution, we present the WCS-T (for "Transaction") specification which enables users and machines to perform atomic insertion, updating, and deletions through simple Web requests. WCS-T has been implemented and is actively being used in projects; recently, it has entered the adoption process in OGC to become part of the WCS suite.