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Global Hotel Source - Sample

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Snowflake2023-10-11 更新2024-05-01 收录
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资源简介:
Northstar Travel Group maintains the largest collection of travel and hospitality data in the world, ensuring the highest quality, most accurate, most relevant and broadest scope of content available. The strength of Northstar’s database is its extensive hotel information, consisting of over 250,000 hotel properties worldwide with 300 different attributes of information associated with each hotel property. Cross Reference GDS Identifier: Northstar Travel Group offers a cross-reference table, using GDS ID codes. This table can be used to merge data from different systems/databases and help to gain access to those systems (i.e. GDSs for booking, commission reconciliation, etc.). Hotel Classification Rating System: The hotel classification rating system is the largest, most-objective and comprehensive hotel rating system worldwide. Our hotel classification system has been developed and refined over seven decades, providing the main source of hotel evaluation and information for the travel planning industry. Unique Hotel Identifier: For years the travel industry has struggled with the costs and problems created by multiple identifiers. NTG has solved these problems and, for 80 years, has been established in the business and process of providing identification numbers. Each of the 250,000+ hotels worldwide has an associated unique hotel identifier to ensure accuracy in matching hotel properties. Hotel Description: Hotel Description is a succinct description of a hotel property, typically describing ambiance, style, architecture, history, location or nearby points of interest. Extensive property attributes including facility information, room amenities, recreation amenities, meeting room detail, points of interest, nearby airports and much more. For more information please contact Sheila Rice at srice@ntmllc.com
提供机构:
Northstar Travel Group
创建时间:
2023-09-28
搜集汇总
数据集介绍
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背景与挑战
背景概述
该样本数据集涵盖全球25万家酒店的详细信息,包含300多项属性、唯一标识符和评级系统,支持通过GDS代码实现跨系统数据整合,并提供酒店描述、设施及周边景点等全面数据。
以上内容由遇见数据集搜集并总结生成
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