๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture
๊ฐ€์ž… May 2026
238 ํŒ”๋กœ์ž‰ ์ค‘    212 ํŒฌ
# Learning Palantir Foundry ๐Ÿš€ The first move that turns a dataset into a business object. How you design Object Types largely decides downstream app performance and UX. ๐Ÿ“Œ Title and Feature URL Title: ใ‚ชใƒ–ใ‚ธใ‚งใ‚ฏใƒˆใ‚ฟใ‚คใƒ— URL: ๐Ÿ“ Overview An Object Type defines the schema for a real-world entity or event. A single occurrence is an object instance (e.g., employee "Melissa Chang"), while a group is an object set (e.g., all tenured employees). This mirrors how datasets handle rows and filtered row collections. ๐Ÿ”ง How It Works - Primary keys and identity: objects need a primary key to uniquely identify instances. Mapping a data source to the object type lets you create and display objects in applications. - Properties: define an object's characteristics, with options such as edit-only properties, required properties, and shared properties reused across multiple object types. - Property types: support time series data, geospatial information, and struct types (nested, complex properties). - Display and search: title/display settings and search indexing improve discoverability inside apps. - Value Types: custom value types with versions, permissions, and constraints standardize representation across the ontology. ๐Ÿ›  Practical Usage - Connect an employee directory or enterprise data to an Employee object type, converting raw datasets into actionable ontology instances. - Nail down primary key design first and index for search to secure downstream app performance and UX. - Use struct properties to auto-map hierarchical data, combined with shared properties for reuse. ๐ŸŽฏ Use Cases - Turn a customer master into a Customer object so the whole company shares one identity. - Model sensor-equipped assets with time series properties to retain operating history. - Model sites and stores with geospatial properties for map-based search and aggregation. โš ๏ธ Caveats - Primary key design, property types, and search indexing largely determine later app performance and UX, so treat them as your most important modeling decisions. - You must correctly map a data source to the object type before objects can be created or displayed. #PalantirFoundry# #Ontology#
๋” ๋ณด๊ธฐ