2023年7月3日

3分钟阅读Mapbox的位置数据的移动和web应用程序平台,2023年雪花峰会上宣布,新的雪花雪花本地应用的可用性市场。雪花客户可以安装和运行这个应用程序在他们的雪花账户,使数据分析师和决策者能够使用多种Mapbox地理空间数据云服务直接在雪花。数据分析之前,需要直接互动与api现在可以完成简单的SQL语句。雪花客户可以使用Mapbox地理坐标匹配地址,翻译原始坐标地址和聚合数据的地理边界。雪花本地应用框架(公共预览AWS)为开发人员现在可以构建和测试应用程序本地数据的云有额外的分布和盈利能力在公共预览。雪花本地应用迎来一个新时代的数据协作,使开发者快速创建健壮的应用程序所需的工具与雪花的不间断可用性和auto-scalability,同时还降低了安全和隐私障碍为客户,因为应用程序直接运行在客户的雪花账户。雪花市场已经超过25新雪花本机应用程序可用的今天,和超过一百个供应商正在开发应用程序跨多个行业和用例。“Mapbox雪花本地应用扩展的可用性对成千上万的顾客的位置服务在雪花市场,”克里斯说孩子,产品管理高级主管,雪花。“我们正兴奋地加入雪花雪花在允许方便地访问位置智能社区,”肖恩Graber表示头的搜索,Mapbox。“Mapbox雪花本地应用给更多的客户,尤其是非开发人员,容易利用地理空间数据的业务价值的方法,和所有在雪花数据云环境中他们已经建立。” Clean up and convert location data Users of the new Mapbox Snowflake Native App can tap into the Mapbox Geocoding API in order to validate and correct messy location data (such as long lists of non-standard addresses), convert text addresses and place names to geospatial coordinates, and translate raw location coordinates into text addresses. The Mapbox Geocoding API uses advanced batch processing to achieve lightning-fast processing time, even while processing hundreds of billions of queries daily. The Snowflake Native App also offers the ability to retain query results for future use. Geocoding is valuable for companies in virtually every industry. In sectors like retail, telecommunications, healthcare, or insurance, providers can use geocoding to validate and analyze customer addresses to understand where clients are located to optimize service and direct marketing campaigns. Trucking, shipping and logistics companies can use ‘reverse geocoding’ to convert geographic coordinates generated from automated tracking devices into addresses to better understand where assets or shipments are located and support compliance with regulations, such as the International Fuel Tax Agreement, which requires companies to pay fuel taxes based on travel time in various jurisdictions. Aggregate and analyze data according to geographic boundaries The second major feature of the Mapbox Snowflake Native App is the ability to aggregate and analyze geospatial data using Mapbox Boundaries, an industry-leading dataset of 5 million polygons of administrative, political, statistical, postal, national, state, city, and locality borders across every country and at multiple levels of jurisdiction. Mapbox Boundaries polygons are edge-matched and topologically accurate – ensuring that there are no gaps or overlaps that introduce errors into the analysis. Using Mapbox Boundaries data, Snowflake users can use point-in-polygon analysis to aggregate geocoded data by jurisdiction, including multiple types of boundaries not included in typical geocoding products. Data analysts can identify and report on insights by aggregating data to various administrative or statistical levels. Sales teams can assess territories or the distribution of customers. Political organizations can aggregate address data by federal or state legislative districts to inform fundraising and other analytics. TAGS