# Uber's data platform finds unused tables and wasteful compute automatically and sends the cost-cutting action to each owner as a ticket

Page: https://flyvolo.ai/en/changes/ev-20240201-data-engineer-4
Date: 2024-02-01 · Stage: Deployment
Can this record move a task judgement? yes
Occupation: https://flyvolo.ai/en/careers/data-engineer

## Scope

One large technology employer, its own big-data platform. The engineering team writes that instead of setting hard limits and budgets on teams, Uber gives stakeholders transparency into costs and resource usage; that its cost-efficiency projects make automated, data-driven decisions to reduce costs; and that one of them checks tables' access patterns and creates tickets for owners to push for deletions and expiry when data is not frequently accessed, with similar checks raising tickets to reduce or stop unused compute. The owners act on the tickets; the post gives no figures for how many are accepted.

## Source

- Uber Technologies — Engineering blog, 'DataCentral: Uber's Big Data Observability and Chargeback Platform' (February 1, 2024) — https://www.uber.com/ie/en/blog/datacentral-ubers-observability-and-chargeback-platform/ (primary source)

## What this means

At one large employer, spotting expensive or unused data is a machine's job, and the decision to delete or keep it goes to a named owner.

## What it does not show yet

One company's engineering blog about its own platform; it says nothing about engineers' time, headcount, or how often owners accept the tickets.

## How to verify it yourself

Open Uber's engineering blog post 'DataCentral: Uber's Big Data Observability and Chargeback Platform' and find "creates Jira tickets for owners".


More: https://flyvolo.ai/llms.txt