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Data Governance Policies

⬢ LIVELLO 2Settori
Medio
Impatto sullo stipendio
3 mesi
Tempo di apprendimento
Medio
Difficoltà
7
Carriere
In sintesi

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).

Cos'è 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?"

🔧 STRUMENTI ED ECOSISTEMA
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

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$70k$115k$175k
UK£43k£70k£105k
EU€48k€75k€115k
CANADAC$65kC$110kC$165k

❓ Domande frequenti

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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