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Data Governance Policies

⬢ 層級 2領域
中等
薪資影響
3 個月
學習時長
中等
難度
7
職業
一覽

Data governance is the organizational discipline of managing data assets (databases, pipelines, analytics, schemas). It includes policies (who can access data, how long it's retained, what quality standards apply), processes (data catalogs, metadata management, lineage tracking), and tools (data governance platforms). Practitioners earn 10-15% premium because they prevent costly compliance violations and improve data quality. Learning: 6-8 weeks (combines technical + organizational skills).

什麼是 Data Governance Policies

Data governance is the organizational discipline of managing data as an asset. It establishes policies (data ownership, retention, access), processes (data catalogs, metadata management, audits), and tools (governance platforms) to ensure data quality, compliance, and alignment across the organization. Example: "We own 200 datasets. Who's responsible for each? What quality standards apply? Who can access PII? How long do we keep data? If a dataset breaks, who needs to know?"

🔧 工具與生態
Data catalogs (Collibra, Alation)Data lineage tools (Datafold, dbt)Data quality platforms (Great Expectations, Monte Carlo)Metadata management (Apache Atlas)Policy management softwareAccess control systems (IAM)Compliance monitoring toolsSQL for auditingSpreadsheets for trackingCommunication platforms

💰 各地區薪資

地區初級中級高級
USA$70,000$115,000$175,000
UK£43,000£70,000£105,000
EU€48,000€75,000€115,000
CANADACA$65,000CA$110,000CA$165,000

❓ 常見問題

What's the difference between data governance and data management?
Data management is technical: building pipelines, designing databases. Data governance is organizational: policies, stewardship, compliance. Management answers 'how do we build it?' Governance answers 'who owns it, how do we use it, when do we delete it?'
Who owns data governance in an organization?
Chief Data Officer (CDO) sets strategy. Business data stewards (by domain) own policies. Data engineers implement. Compliance/Legal enforce. It's a cross-functional responsibility.
What's a data catalog?
A searchable inventory of all datasets in an organization. Includes metadata (owner, description, schema, lineage, freshness, quality metrics). Helps teams discover data and understand dependencies.
How do I enforce data governance policies?
Automate where possible: Data catalogs flag undocumented datasets. Data quality tools alert on failures. Access controls prevent unauthorized reads. Manual reviews for sensitive decisions.
What's data lineage?
The path data takes from source to destination. Example: API → pipeline → warehouse → dashboard. Knowing lineage helps understand impact (if source data breaks, what breaks downstream?) and compliance (where is PII stored?).

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