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Databricks > 实例探究 > Block 利用 Databricks 彻底改变金融服务
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Block's Transformation of Financial Services with Databricks

技术
  • 分析与建模 - 机器学习
  • 分析与建模 - 预测分析
适用行业
  • 教育
  • 设备与机械
适用功能
  • 产品研发
  • 质量保证
用例
  • 欺诈识别
  • 库存管理
服务
  • 云规划/设计/实施服务
  • 数据科学服务
挑战
管理数据量和数据孤岛减缓了创新
关于客户
Block 是一家全球科技公司,致力于提供便捷的金融服务,优先考虑经济赋权。其子公司包括 Square、Cash App、Spiral、TBD 和 TIDAL,致力于扩大经济准入。
解决方案
Block 选择迁移到 Spark 并选择 Databricks 作为他们的 Lakehouse 平台
运营影响
  • The migration to the Databricks platform and the implementation of Unity Catalog brought about transformative benefits for Block. It facilitated the creation of a dynamic “marketplace” for data exchange between different business units, fostering collaboration and knowledge sharing. The operational efficiency of data sharing improved significantly, reducing the time required from days to seconds. Unity Catalog also improved the ease of IAM policy management for Block, streamlining the process by configuring sub-group level access permissions in a single location. Moreover, it empowered Block to attribute data ownership more easily and decentralize decision-making, enhancing overall data governance and accountability. Looking ahead, there is a big focus on leveraging generative AI and LLMs in Block’s overall data and AI strategy, and Unity Catalog will play an important role in delivering on that strategy.
数量效益
  • Block managed to reduce compute costs by an impressive 12x
  • Reduced data egress costs associated with cross-cloud provider data transfer by 20%
  • Block manages 2PB of data on the Databricks Lakehouse Platform and anticipates reaching 4PB by year-end

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