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Databricks > 实例探究 > 借助 Databricks Lakehouse 平台加速游戏行业的数据分析和创新
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Revolutionizing Gaming Experience with IoT: A Case Study on Devsisters' Cookie Run

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
  • 水泥
  • 建筑与基础设施
适用功能
  • 维护
  • 仓库和库存管理
用例
  • 拣选/分拣/定位
  • 时间敏感网络
服务
  • 数据科学服务
挑战
Devsisters 是一家全球游戏应用开发商,其本地数据分析平台面临性能问题和高昂的维护成本。他们需要一种新的解决方案来更快、更无缝地分析大数据。
关于客户
Devsisters 是一家全球娱乐和游戏应用程序开发商,以其成功的游戏《Cookie Run》而闻名。他们拥有数据驱动的文化,并优先考虑为全球 2 亿用户提供最佳游戏体验。
解决方案
Devsisters 在 AWS 上实施了 Databricks Lakehouse 平台,该平台存储、理解和分析所有数据类型,以进行下游分析和机器学习。他们还利用 Databricks SQL 和 Delta Lake 来提高性能和可靠性。此外,他们还测试了 Photon,这是一种可实现快速查询性能的下一代引擎。
运营影响
  • The implementation of the Databricks Lakehouse Platform has significantly improved Devsisters' operational efficiency. With simplified data analysis and data warehouse management, data platform engineers can now focus on improving data platform capabilities and performance, rather than spending time on troubleshooting. The data team is innovating faster, with development time reduced by 30%. The company has also been able to leverage better data insights to create a statistical model that predicts the lifetime value derived from the entire game process. The Databricks Lakehouse provides an integrated data environment, combining the strengths of both a data lake and a data warehouse to enhance integration among indicators. This has enabled Devsisters to deliver powerful insights while providing reliable data.
数量效益
  • 30% reduction in development time, accelerating new feature releases
  • 200% faster analysis of in-game activity, increasing gamer engagement
  • Ability to process and analyze more than 10TB of game player data every day

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