Men-deploy Service Load Balancer Kubernetes dengan Terraform Ulasan

Hassan G. · Diulas 1 hari lalu

DONGWON J. · Diulas 2 hari lalu

Marin P. · Diulas 2 hari lalu

Lucas Christian M. · Diulas 2 hari lalu

Sharmila K. · Diulas 3 hari lalu

Brayam L. · Diulas 3 hari lalu

Andrey Claive B. · Diulas 3 hari lalu

Enzo C. · Diulas 4 hari lalu

portal is not working to validate from UI

Deva Kishore T. · Diulas 4 hari lalu

Ceazar Mhillanno E. · Diulas 4 hari lalu

Seungrok Y. · Diulas 5 hari lalu

Salvatore -. · Diulas 5 hari lalu

Danial J. · Diulas 5 hari lalu

Oleg K. · Diulas 6 hari lalu

Pocholo Ryan D. · Diulas 6 hari lalu

Arnel D. · Diulas 6 hari lalu

Tzvi L. · Diulas 6 hari lalu

Rod L. · Diulas 6 hari lalu

Ricardo Jose Z. · Diulas 7 hari lalu

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. · Diulas 7 hari lalu

Juan Paulo J. · Diulas 7 hari lalu

Carlos D. · Diulas 7 hari lalu

Diego V. · Diulas 7 hari lalu

Chris N. · Diulas 7 hari lalu

Philip Dexter G. · Diulas 8 hari lalu