Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, based on graph-based data arrangements, among other things, and, more specifically, to a computing platform configured to generate configurable automation templates and automation executable programs that automate workflows based on process models to effectuate automated data governance of datasets, including graph-based data stored in one or more graphs, such as a knowledge graph, a data catalog, etc., whereby in at least one example, automated workflows can provide automatic enrichment of datasets, such as multi-layered knowledge graph data that may include data catalog data.

Abstract: A datastore that includes property listings (e.g., for rental properties) may be accessed by a computing resource configured to execute a thumb printing algorithm to generate summary data values (e.g., thumbprint values, hash values) of digital data included one or more images of a property listing. The summary data values along with listing attributes (e.g., address, zip code, geolocation, brand, number of bedrooms/bathrooms/sleeps, amenities) of the property listing may be compared with summary data values and listing attributes of other property listings to determine if the summary data values of one or more images match and if one or more listing attributes match. A threshold number of image matches and listing attribute matches may indicate that the property listings are duplicate property listings, which may be merged, removed or replaced with links/pointers by the computer resource to increase data storage space and/or reduce data search latency times of the datastore.