Databricks > 实例探究 > Carvana 通过 Databricks Lakehouse 平台增强客户体验

Carvana 通过 Databricks Lakehouse 平台增强客户体验

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技术
  • 分析与建模 - 实时分析
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 消费品
  • 零售
适用功能
  • 维护
  • 质量保证
用例
  • 实时定位系统 (RTLS)
  • 视觉质量检测
服务
  • 测试与认证
关于客户
Carvana 是一家位于亚利桑那州的在线二手车零售商。他们开发了下一代通信平台(NGCP)来提供无缝的汽车购物体验。 NGCP 团队由五名数据和分析工程师组成。
挑战
Carvana 的 NGCP 团队面临规模和数据质量挑战、高数据仓库成本和有限的数据可用性。
解决方案
Carvana 迁移到 Databricks Lakehouse 平台,其中包括 Delta Live Tables 和 Databricks SQL Serverless,以克服这些挑战并实现近实时流和分析。
运营影响
  • The implementation of the Databricks Lakehouse Platform has resulted in several operational benefits for Carvana. The platform has enabled the NGCP team to manage the complex dependencies and scale of its data pipelines more effectively. The use of Delta Live Tables has allowed the team to build scalable and testable pipelines, improving the efficiency and reliability of their data operations. The platform has also provided several technical improvements, including data lineage visibility and real-time alerts for delayed events, enhancing the team's ability to monitor and manage their data operations. Furthermore, the use of Databricks SQL Serverless and Delta Lake at the data warehouse level has improved the speed for real-time analytics use cases, enabling Carvana data engineers to access accurate data with very low latency.
数量效益
  • Reduced full table scans and data extraction from BigQuery has saved Carvana approximately $500,000 a year in data warehouse costs.

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