{'fraction_non_alphanumeric': 0.016221374045801526, 'fraction_numerical': 0.0, 'mean_word_length': 5.4753086419753085, '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}}
Data Integration Using DataPile Structure

One of the areas of data integration covers systems that maintain coherence among a heterogeneous set of databases. Such a system repeatedly collects data from the local databases, synchronizes them, and pushes the updates back. One of the key problems in this architecture is the conflict resolution. When data in a less relevant data source changes, it should not cause any data change in a store with higher relevancy. To meet such requirements, we propose a DataPile structure with following main advantages: effective storage of historical versions of data, straightforward adaptation to global schema changes, separation of data conversion and replication logic, simple implementation of data relevance. Key usage of such mechanisms is in projects with following traits or requirements: integration of heterogeneous data from sources with different reliability, data coherence of databases whose schema differs, data changes are performed on local databases and minimal load on the central database.