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Coursera

SQL Data Quality, Security, and Governance

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Overview

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You'll develop the critical skills to ensure data reliability, security, and strategic value in modern organizations. Through hands-on SQL projects, you'll implement automated data quality frameworks, apply security controls to protect sensitive information, and create data-driven strategies for infrastructure evolution. You'll build monitoring dashboards, conduct security audits against industry standards, and develop cost-benefit models for strategic decision-making. This comprehensive approach integrates technical data engineering with business strategy, preparing you to drive organizational success through trustworthy, well-governed data systems that meet compliance requirements.

Syllabus

  • Apply Automated Data Quality Tests to Data Models
    • You will implement automated data quality tests directly into data models using SQL-based validation frameworks.
  • Analyze Validation Failures to Pinpoint Root Cause
    • You will systematically investigate data quality failures using data lineage, system logs, and analytical techniques to identify underlying causes.
  • Build SQL Validation Frameworks Using Metadata & Table Statistics
    • You will build scalable SQL validation frameworks that automatically generate quality checks using database metadata and statistical analysis.
  • Foundation - Data Quality Dimension Calculations
    • You will learn the quantitative measurement of critical data quality dimensions through systematic calculation methods that provide objective assessment of data reliability.
  • Core Application - Quality KPI Evaluation and Remediation
    • You will learn the evaluation of quality key performance indicators over time and develop actionable remediation strategies that prevent quality degradation before it impacts business operations.
  • Integration & Assessment - Automated Error Handling Systems
    • You will create resilient automated SQL routines that detect, quarantine, and reprocess data errors without manual intervention, building self-healing data systems at enterprise scale.
  • Data Masking Implementation
    • You will learn column-level data masking techniques to protect sensitive information while maintaining data utility for business operations.
  • Audit Log Anomaly Detection
    • You will learn systematic analysis of database audit logs to identify suspicious access patterns and potential security threats through SQL queries and anomaly detection techniques.
  • Security Controls Evaluation
    • You will learn systematic evaluation of security controls against industry compliance standards including SOC 2 and NIST frameworks, identifying gaps and developing remediation strategies.
  • Architecture Gap Analysis Foundation
    • You will systematically analyze current data architectures, document existing SQL tooling capabilities, and identify critical gaps that prevent achievement of target-state objectives.
  • Cost-Benefit Evaluation Core
    • You will develop and apply SQL-derived financial models to evaluate data engineering initiatives, quantify ROI for modernization projects, and create compelling business cases that support strategic investment decisions.
  • Strategic Migration Planning Integration
    • You will create comprehensive strategic roadmaps that sequence legacy data transformation migrations by business impact and technical complexity, ensuring minimal disruption while maximizing business value realization.
  • Build SQL Dashboards for Pipeline Monitoring
    • You will create functional SQL-powered dashboards that monitor real-time pipeline performance metrics and prevent costly failures through proactive data infrastructure management.
  • Evaluate Warehouse Scaling ROI Strategies
    • You will develop comprehensive ROI analysis frameworks for warehouse scaling decisions, creating executive-ready recommendations that connect technical performance improvements to measurable business value and financial impact.
  • Apply Correlation Analysis for Data Relationships
    • You will implement correlation analysis techniques to identify and measure relationships between numeric variables, creating actionable insights that guide strategic business decisions and optimize data-driven processes.
  • Project: SQL Data Quality, Security, and Governance
    • You will create a comprehensive data governance framework by integrating automated data quality testing, security monitoring, and strategic data architecture planning. This project combines SQL validation logic, security audit analysis, and data-driven decision making to build enterprise-ready data systems.

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