关于“使用 Terraform 部署 Kubernetes 负载均衡器 Service”的评价

57702 条评价

Brayam L. · 已于 5 months前审核

Andrey Claive B. · 已于 5 months前审核

Enzo C. · 已于 5 months前审核

portal is not working to validate from UI

Deva Kishore T. · 已于 5 months前审核

Ceazar Mhillanno E. · 已于 5 months前审核

Seungrok Y. · 已于 5 months前审核

Salvatore -. · 已于 5 months前审核

Danial J. · 已于 5 months前审核

Oleg K. · 已于 5 months前审核

Pocholo Ryan D. · 已于 5 months前审核

Arnel D. · 已于 5 months前审核

Tzvi L. · 已于 5 months前审核

Rod L. · 已于 5 months前审核

Ricardo Jose Z. · 已于 5 months前审核

I selected this answer because BigQuery and Looker Studio are primarily used for data analysis and visualization. In the case of Kaluza, BigQuery is used to store and process large volumes of data related to electric vehicle charging, such as usage patterns, energy consumption, and operational performance. Looker Studio is then used to visualize this data through dashboards, allowing teams to easily understand complex information. These dashboards provide granular operational insights, meaning they show detailed, real-time information about how the system is performing and how users are interacting with it. This combination helps Kaluza make data-driven decisions, optimize charging efficiency, improve resource management, and support sustainability goals. Therefore, the main purpose of using BigQuery and Looker Studio in this scenario is to create dashboards that deliver actionable insights, not for machine learning, containerization, or compliance.

Aya A. · 已于 5 months前审核

Juan Paulo J. · 已于 5 months前审核

Carlos D. · 已于 5 months前审核

Diego V. · 已于 5 months前审核

Chris N. · 已于 5 months前审核

Philip Dexter G. · 已于 5 months前审核

John Loyd L. · 已于 5 months前审核

Denzel S. · 已于 5 months前审核

suraj k. · 已于 5 months前审核

Lucian P. · 已于 5 months前审核

Victor G. · 已于 5 months前审核

我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。