实例探究 > 加速药物开发和交付:安进 (Amgen) 凭借 Databricks Lakehouse 平台取得的成功

加速药物开发和交付:安进 (Amgen) 凭借 Databricks Lakehouse 平台取得的成功

技术
  • 分析与建模 - 机器学习
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 设备与机械
  • 药品
适用功能
  • 维护
  • 产品研发
用例
  • 添加剂制造
  • 库存管理
服务
  • 数据科学服务
关于客户
安进是世界上最大的独立生物技术公司,专注于药物开发和交付。他们在临床试验、制造和商业化领域拥有大量有价值的数据。
挑战
安进在跨不同部门和职能部门高效利用数据和协作方面面临挑战。他们在数据组织、共享和协作以及不同数据工具和消费方法的复杂性方面遇到了困难。
解决方案
安进采用了 Databricks Lakehouse 平台,为数据团队提供了统一的协作环境。他们利用 Delta Lake 实现 ACID 合规性和历史回顾,并利用 AWS Glue 连接不同的 Databricks 环境。这使他们能够在 Apache Spark 上实现数据和分析标准化,为数据科学家、分析师和工程师提供灵活性和单一事实来源。
运营影响
  • The implementation of the Databricks Lakehouse Platform has helped Amgen to continue achieving its goals of serving patients and improving the drug development lifecycle. The platform has enabled various data teams from engineering to data science to analysts to access and collaborate on data. This has facilitated genomic exploration and research at scale, optimized clinical trial designs, and improved supply chain and inventory optimization. The company has been able to take a modern approach to deliver on a myriad of use cases by focusing on the data, the relationships, and the connections rather than just the technology. The lakehouse approach has fostered collaboration and transparency, enabling the company to spend more time-solving problems that can benefit the patients who need treatments, and less time rebuilding the foundational infrastructure that enables it.
数量效益
  • Data ingestion rates have increased significantly
  • Processing times improved by 75%
  • 2x faster delivery of insights to the business

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