Databricks > 实例探究 > AT&T 使用 Databricks 进行云迁移：节省成本并加快创新速度

AT&T 使用 Databricks 进行云迁移：节省成本并加快创新速度

技术

适用行业

适用功能

用例

服务

关于客户

AT&T 是一家拥有数亿用户的电信公司。他们拥有一支由 60 多个业务部门的 2,500 多名数据用户组成的团队，他们依靠数据驱动的见解来制定决策并为客户创新构建机器学习模型。

挑战

AT&T 的本地 Hadoop 系统面临着挑战，该系统复杂且管理成本高昂。他们需要转向云，以更好地支持数百万用户并提高运营敏捷性和效率。

解决方案

AT&T 从 Hadoop 迁移到 Azure 云上的 Databricks。此次迁移使他们能够简化基础设施管理、提高敏捷性并降低总体成本。他们还为 60 多个业务部门的 2,500 多名数据用户建立了数据单一真相版本 (SVOT) 并实现数据访问民主化。

运营影响

The migration to Databricks on the Azure cloud has brought significant benefits to AT&T. The company has experienced substantial cost savings and has been able to rationalize about 30% of its data by identifying and not migrating underutilized and duplicate data. The migration of the largest workloads first allowed half the on-prem equipment to be rationalized during the migration. The result is an anticipated 300% five-year migration ROI from OpEx savings and cost avoidance. With data readily available and the means to analyze data at any scale, teams of citizen data scientists and analysts can now spend more time innovating. Data scientists are now able to collaborate more effectively and speed up machine learning workflows so that teams can deliver value more quickly. AT&T now has a single version of truth to create new data-driven opportunities, including a self-serve AI-as-a-Service analytics platform that will enable new revenue streams and help it continue delivering exceptional innovations to its millions of customers.

数量效益

300% five-year migration ROI from OpEx savings and cost avoidance
30% of its data was rationalized by identifying and not migrating underutilized and duplicate data
50% of the on-prem equipment was rationalized during the course of the migration