Atlan > 实例探究 > Delhivery 实施现代数据目录的旅程：Atlan 的学习和成功

Delhivery 实施现代数据目录的旅程：Atlan 的学习和成功

技术

分析与建模 - 数据挖掘
自动化与控制 - 人机界面 (HMI)

适用行业

建筑物
水泥

适用功能

采购
产品研发

用例

沉浸式分析
时间敏感网络

服务

系统集成
培训

关于客户

Delhivery 是印度领先的数字商务履行平台。他们每天处理超过 1.2 TB 的数据，每天处理一百万个包裹。他们拥有庞大的物联网设备网络，每秒处理近 60,000 个数据事件和消息。

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挑战

Delhivery 面临着数据发现和组织方面的挑战，因为他们处理的数据量很大，而且数据所有权分布在不同的团队中。随着公司及其数据的增长，新团队成员的入职需要更长的时间。

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解决方案

Delhivery 评估了商业数据目录解决方案，但找不到合适的解决方案，因此他们决定使用 Apache Atlas 和 Amundsen 构建自己的内部解决方案。然而，他们面临可用性问题，并意识到他们需要一个完整的产品团队来修改他们的数据目录。然后他们发现了 Atlan，一个擅长数据编目和发现的现代数据工作区，并决定与他们合作。

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运营影响

The implementation of Atlan as a data cataloguing solution has significantly improved the data discovery and organization at Delhivery. The user interface and experience of Atlan are extremely intuitive, making it user-friendly for both technical and non-technical users. Its collaboration-first approach, such as the ability to share data assets as links or its integrations with Slack, has been very promising. The open API backbone of Atlan has given Delhivery the ability to build on top of Atlan and customize the product for their end users. The continuous workshops conducted by Atlan during the Proof of Concept helped onboard new team members, dive deep into advanced features, and maintain traction as team members started documenting data and filling the new metadata stores. The implementation of Atlan has helped Delhivery make their data self-service, discoverable, and clear for their data-driven teams.

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