Automated Reporting & Report Development Questions
Build automated reports that refresh on schedule. Understand refresh schedules, data pipeline integration, and deployment to production. Create parameterized reports for different stakeholder needs. Know how to version control and manage report changes.
MediumTechnical
0 practiced
Provide pseudocode or a Python outline for a daily automated reconciliation job that compares a source table 'transactions' with an aggregated 'daily_revenue' report table by date. The job should alert if totals differ by more than 0.5%. Describe scheduling, logging, idempotency, and notification best practices.
EasyTechnical
0 practiced
Why should data analysts use version control (for example Git) for report development? Describe at least four benefits (history/audit, branching, rollback, collaboration) and outline a simple example workflow for collaborating on Power BI or Tableau reports while preserving reproducibility.
EasyTechnical
0 practiced
List common automated report refresh intervals (real-time/streaming, every 5 minutes, every 15/30/60 minutes, hourly, daily, weekly) and provide two business use cases for each cadence. Describe constraints that typically influence the choice of cadence (data arrival patterns, decision frequency, cost).
MediumTechnical
0 practiced
Define metrics you would use to measure 'data freshness' for automated reports (e.g., latency from event occurrence to visibility in the dashboard). Propose methods to improve freshness (change data capture, micro-batching, near-real-time ingestion) and discuss trade-offs between freshness, cost, and complexity.
HardSystem Design
0 practiced
Design a CI/CD pipeline for report development (Power BI/Tableau) that includes: version control for report definitions and semantic layers, automated tests (data validation, query performance thresholds, visual regression), promotion across dev/staging/prod, secret/credential management, and rollback procedures. Explain the key components and integrations.
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