技术
- 平台即服务 (PaaS) - 应用开发平台
- 传感器 - 相机/视频系统
适用行业
- 建筑物
- 建筑与基础设施
适用功能
- 维护
- 产品研发
用例
- 实时定位系统 (RTLS)
- 时间敏感网络
服务
- 云规划/设计/实施服务
关于客户
Kaltura 是一家为 1,000 多家客户提供直播、实时和点播视频 SaaS 解决方案的公司,这些客户在家庭、工作和学校吸引了数百万观众。其虚拟活动产品在 COVID-19 大流行期间迅速流行。 Kaltura 的使命是为任何组织提供任何视频体验,部署广泛的视频解决方案来帮助客户教学、学习、交流、协作和娱乐。该公司的数据工程团队支持公司的所有数据需求,最近从主要支持公司的云电视部门转变为作为平台部门的一部分为整个公司提供服务。
挑战
Kaltura 是一家提供直播、实时和点播视频 SaaS 解决方案的公司,面临着构建近乎实时的事件管道的挑战。数据团队的任务是根据用户设备发送的流事件创建新的数据产品。该管道需要捕获事件并将其直接写入数据湖,检测异常并通知利益相关者事件数量激增。数据工程团队最近从主要支持公司的云电视部门转变为为整个公司提供服务,他们的任务还包括用新的数据湖平台替换旧基础设施。
解决方案
Kaltura 决定部署 Databricks Lakehouse 平台和 dbt 来取代其遗留架构。该公司推出了概念验证,并受到其成功的鼓舞,决定合并 dbt 来帮助扩展其快速增长、混乱的数据。借助 Databricks 和 dbt,Kaltura 取代了其旧数据架构,与 Databricks 一起运行 dbt 来编排其最复杂的工作流程。这导致了更快的处理速度,并且更少需要人工参与。向 dbt 的过渡还迫使 Kaltura 转向 SQL,团队认为此举是值得的。随着 Kaltura 的计算需求不断增加,数据团队可以轻松扩展 Databricks 中的资源。
运营影响
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