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IMVU's Transformation: Leveraging AWS for Advanced Analytics and Machine Learning
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
- 物流运输
- 产品研发
用例
- 行为与情绪追踪
- 牲畜监测
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
IMVU 希望增强和重新架构其老化的本地数据平台,以支持高级分析和机器学习用例。随着数据量呈指数增长和整体 Hadoop 架构,IMVU 团队面临着创新和更有效地利用用户生成数据的挑战。 IMVU 希望通过高级分析和数据流来增强和重新构建其平台。该公司是 Apache Hadoop 的先驱和早期采用者之一,在大数据技术成为主流之前就充分利用了它们。尽管 IMVU 拥有深厚的内部专业知识,但支持和升级其 90 节点 Hadoop 集群和内部构建的工具对他们来说仍然具有挑战性。
关于客户
IMVU 是世界上最大的基于虚拟形象的社交网络,在这里,共享的经历可以建立更深的友谊并培养创造力,所有关系都很重要。在 IMVU,每月有超过 700 万用户定制自己的头像、与朋友聊天、购物、参加炫酷的派对,并通过创建虚拟产品赚取真金白银。
解决方案
IMVU 数据平台针对 AWS 云进行了重新架构。 Apache Hadoop 集群迁移到 Amazon EMR,Hive/Spark 作业得到优化,Apache Kafka 数据流镜像到云,以实现数据分析。 IMVU 与 Provectus 和 AWS 合作,提出了面向下一代架构的全面迁移和现代化战略。多阶段方法旨在确保业务连续性并解决迁移风险以及安全最佳实践。为了确保 IMVU 平台上数据分析的有效性和成本效益,他们的数据管道进行了现代化和重新架构,以满足现代数据平台的要求。为此,利用了开源解决方案和 AWS 服务。
运营影响
数量效益
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