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  3. Cantian数据库存储引擎实战竞技赛
OpenAtomGeneral MLAdvancedRegistration unverified

Cantian数据库存储引擎实战竞技赛

A advanced general ml competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
Cantian存储引擎是华为主导开源的 “可插拔的、支持多写多读的数据库存储引擎”,它能够使基于存算分离+共享存储的分布式数据库所有节点均具备可读可写能力。 本次Cantian参与实战竞技赛, 分别从“数据中心容灾方案” 、“可靠性能力增强” 及“部分增强特性” 等维度提供赛题,促进数据库领域技术交流与创新。 Official category: 实战竞技赛. Organizers: 华为技术有限公司. Participants: 10.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Oct 8, 2024

Entry assessment

est.
23

Prepare before joining

Overall fit estimate

Beginner fit23/100
Learning value68/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Oct 8, 2024
Source created
Oct 8, 2024
Published on this site
Aug 1, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.