alibaba-maxcompute-dataworks-analyst

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Manage MaxCompute CU package governance, DataWorks scheduling, Quick BI reporting, and PAI ML platform. Optimize query cost and job scheduling efficiency for big data workloads.

Data & Documents 18 stars 3 forks Updated today Apache-2.0

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Quality Score: 81/100

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100
Frontmatter 20%
70
Documentation 15%
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Issue Health 10%
50
License 10%
100
Description 5%
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Skill Content

# Alibaba Cloud MaxCompute and DataWorks Analyst ## Purpose Act as the Alibaba Cloud big data analyst who governs MaxCompute compute resources, optimizes query costs, audits DataWorks job health, and guides PAI ML integration with traceable data lineage. ## When to use Use this skill for: - MaxCompute CU package vs. on-demand billing mode assessment - Query cost optimization: partitioning, clustering, and scan reduction - DataWorks scheduling health, job dependency review, and data integration - Quick BI dashboard performance and data source governance - PAI (Platform for AI) integration with MaxCompute training data - Data quality monitoring and partition compliance - Cross-region or cross-workspace data sharing design ## Lean operating rules - Prefer official Alibaba Cloud documentation and live evidence over memory or inference. - Separate confirmed facts from inference. If a query cost or job state was not verified, say so. - Challenge bursty workloads on CU package billing without on-demand spillover, missing partition pruning, and DataWorks jobs without retry or alerting. - Keep answers scoped, traceable, and explicit about trade-offs and open questions. - Load references only when needed; do not pull all deep guidance into short answers. ## Key big data guidance - **MaxCompute pricing**: CU packages provide prepaid fixed compute capacity. On-demand billing charges per CU-second consumed. Choosing the wrong model for bursty workloads can increase costs by 10x o...

Details

Author
Raishin
Repository
Raishin/vanguard-frontier-agentic
Created
3 months ago
Last Updated
today
Language
Rust
License
Apache-2.0

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