What does SQL-based data governance mean in this course?

In this course, SQL-based data governance means using SQL to keep data reliable, secure, and well controlled as it moves through modern data systems. The emphasis is on building repeatable validation, monitoring, masking, auditing, and decision-support practices instead of relying on occasional manual checks.

When would you use SQL-based data governance?

You would use it when data is flowing through production pipelines, feeding reporting, or containing sensitive fields that need consistent oversight. The course treats it as most useful when teams need automated quality checks, stronger access protection, and clear ways to spot issues early.

How does SQL-based data governance fit into a broader workflow?

It sits across the ongoing part of a data workflow, after data models and pipelines exist but before teams can trust them for regular use. In this course, it connects validation, security review, monitoring, and follow-up analysis so data systems stay dependable as they scale and change.

How is SQL-based data governance different from one-off data checks?

One-off data checks usually look for problems after something has already gone wrong, while SQL-based data governance builds rules and oversight into normal data operations. Here, the focus is on continuous validation, access control, auditability, and structured remediation rather than isolated spot checks.

Do you need any prerequisites before learning SQL-based data governance?

A working knowledge of SQL is helpful because the course centers on writing validation, monitoring, and analysis queries. It also helps to be comfortable thinking about tables, pipelines, and production-style data issues, even if you have not built a full governance process before.

What tools, platforms, or methods are used in this course?

SQL is the main tool, and some automated data quality testing is shown through dbt. The main methods focus on repeatable validation, security auditing, and monitoring analysis.

What specific tasks will you practice or complete in this course?

You practice building automated quality checks, investigating failed validations, applying masking and audit analysis, and creating monitoring queries for pipeline health. You also evaluate control gaps and turn technical findings into remediation plans or ROI-backed recommendations.

SQL Data Quality, Security, and Governance

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SQL Data Quality, Security, and Governance

This course is part of Level Up: Advanced SQL for Data Engineering Specialization

Instructor: Professionals from the Industry

Included with

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16 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

16 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Build automated SQL validation frameworks to detect and resolve data quality issues in production pipelines.
Implement comprehensive data security controls including masking, monitoring, and compliance auditing practices.
Create strategic roadmaps and cost-benefit models to guide data infrastructure modernization decisions.
Develop performance dashboards and analytics to optimize data warehouse scaling and operational efficiency.

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Tools you'll learn

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This course is part of the Level Up: Advanced SQL for Data Engineering Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 16 modules in this course

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.

Module details

You will implement automated data quality tests directly into data models using SQL-based validation frameworks.

What's included

3 videos1 reading2 assignments

3 videosTotal 13 minutes

Why Data Quality Automation Prevents Million-Dollar Mistakes2 minutes
Essential Components of Automated Data Quality Testing5 minutes
Building Automated dbt Tests for Customer Data Models6 minutes

1 readingTotal 12 minutes

Implementing dbt Tests for Production Data Models12 minutes

2 assignmentsTotal 24 minutes

Implement Comprehensive dbt Test Suite for Sales Data Model18 minutes
Automated Data Quality Testing Validation6 minutes

You will systematically investigate data quality failures using data lineage, system logs, and analytical techniques to identify underlying causes.

What's included

1 video1 reading2 assignments

You will build scalable SQL validation frameworks that automatically generate quality checks using database metadata and statistical analysis.

What's included

3 videos1 reading3 assignments1 ungraded lab

3 videosTotal 15 minutes

Why Reusable Validation Frameworks Scale Data Quality Across Organizations3 minutes
Building SQL Validation Templates Using Database Metadata7 minutes
Creating Automated SQL Validation Framework with Statistical Analysis5 minutes

1 readingTotal 12 minutes

Metadata-Driven SQL Validation Framework Architecture12 minutes

3 assignmentsTotal 35 minutes

SQL Validation Framework Mastery Assessment12 minutes
Build Enterprise SQL Validation Framework with Statistical Thresholds20 minutes
SQL Validation Framework Fundamentals Knowledge Check3 minutes

1 ungraded labTotal 20 minutes

Extend a SQL Validation Framework with Null Pattern and Accepted Value Templates20 minutes

You will learn the quantitative measurement of critical data quality dimensions through systematic calculation methods that provide objective assessment of data reliability.

What's included

3 videos1 reading2 assignments

3 videosTotal 16 minutes

Core Data Quality Dimensions and Mathematical Foundations7 minutes
Advanced Quality Calculation Techniques for Enterprise Systems5 minutes
Building Quality Calculation Dashboards in SQL4 minutes

1 readingTotal 10 minutes

Implementing Quality Calculations in SQL and Python10 minutes

2 assignmentsTotal 20 minutes

Implementing Quality Metrics for E-commerce Product Database15 minutes
Data Quality Dimension Calculations Knowledge Check5 minutes

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.

What's included

3 videos2 readings2 assignments

3 videosTotal 14 minutes

How Quality Monitoring Prevents Business Disasters3 minutes
Building Quality KPI Monitoring Systems with Trend Analysis6 minutes
Creating Quality KPI Dashboards with Trend Analysis5 minutes

2 readingsTotal 20 minutes

Quality KPI Frameworks for Enterprise Data Systems10 minutes
Advanced Remediation Strategies for Data Quality Issues10 minutes

2 assignmentsTotal 21 minutes

Quality KPI Analysis and Remediation Planning for Financial Services18 minutes
Remediation Strategy Planning Review3 minutes

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.

What's included

3 videos1 reading2 assignments1 ungraded lab

3 videosTotal 21 minutes

How Automated Error Handling Transforms Data Engineering Excellence4 minutes
Automated Error Handling Architecture and SQL Implementation Patterns11 minutes
Building Complete Automated Error Handling Systems in SQL6 minutes

1 readingTotal 10 minutes

Advanced SQL Patterns for Self-Healing Data Systems10 minutes

2 assignmentsTotal 15 minutes

Data Quality and Automated Error Handling Mastery Assessment10 minutes
Automated Error Handling Implementation Knowledge Check5 minutes

1 ungraded labTotal 60 minutes

Automated SQL Error Handling and Recovery System60 minutes

You will learn column-level data masking techniques to protect sensitive information while maintaining data utility for business operations.

What's included

3 videos1 reading2 assignments

3 videosTotal 18 minutes

Why Data Masking Matters: Protecting Enterprise Assets4 minutes
Data Masking Fundamentals: Static, Dynamic, and Column-Level Techniques 5 minutes
Implementing Column-Level Masking Policies in SQL Server9 minutes

1 readingTotal 7 minutes

Column-Level Data Masking: Architecture, Policies, and Best Practices7 minutes

2 assignmentsTotal 23 minutes

Hands-On Data Masking Implementation for Healthcare Database20 minutes
Data Masking Knowledge Check3 minutes

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.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videosTotal 22 minutes

Why Audit Log Analysis Saves Organizations: Real Breach Detection Stories5 minutes
SQL Techniques for Audit Log Anomaly Detection6 minutes
Building SQL Queries for Audit Log Anomaly Detection11 minutes

1 readingTotal 7 minutes

Database Audit Log Analysis: Structure, Patterns, and Anomaly Identification7 minutes

1 assignmentTotal 3 minutes

Audit Log Analysis Techniques Knowledge Check3 minutes

1 ungraded labTotal 20 minutes

Database Audit Log Anomaly Detection20 minutes

You will learn systematic evaluation of security controls against industry compliance standards including SOC 2 and NIST frameworks, identifying gaps and developing remediation strategies.

What's included

3 videos1 reading2 assignments

3 videosTotal 20 minutes

Why Security Controls Evaluation Prevents Organizational Failure5 minutes
Security Controls Mapping and Gap Analysis Methodology7 minutes
SOC 2 Security Controls Assessment Using Excel Templates8 minutes

1 readingTotal 7 minutes

SOC 2 and NIST Framework Fundamentals for Security Assessment7 minutes

2 assignmentsTotal 18 minutes

"Comprehensive Security Controls Evaluation and Compliance Assessment "15 minutes
Security Controls Evaluation Knowledge Check3 minutes

You will systematically analyze current data architectures, document existing SQL tooling capabilities, and identify critical gaps that prevent achievement of target-state objectives.

What's included

2 videos1 reading1 assignment

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.

What's included

3 videos1 reading1 assignment

3 videosTotal 18 minutes

The Business Case That Changed Everything4 minutes
Building ROI Models: From SQL Queries to Executive Presentations7 minutes
Hands-On Financial Modeling: ROI Calculator Development7 minutes

1 readingTotal 10 minutes

SQL-Derived Financial Modeling: Quantifying Data Engineering ROI10 minutes

1 assignmentTotal 3 minutes

Cost-Benefit Modeling Fundamentals Knowledge Check3 minutes

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.

What's included

1 video2 readings3 assignments

1 videoTotal 4 minutes

The Migration That Transformed a Fortune 500 Company4 minutes

2 readingsTotal 20 minutes

Sequencing Legacy Transformation for Maximum Business Impact10 minutes
Podcast: Building Your Strategic Migration Roadmap10 minutes

3 assignmentsTotal 33 minutes

Comprehensive Architecture Modernization Business Case15 minutes
Develop Your Strategic Migration Roadmap15 minutes
Strategic Migration Planning Knowledge Check3 minutes

You will create functional SQL-powered dashboards that monitor real-time pipeline performance metrics and prevent costly failures through proactive data infrastructure management.

What's included

2 videos1 reading2 assignments

2 videosTotal 14 minutes

SQL Dashboard Architecture for Pipeline Performance Monitoring8 minutes
Building Your First SQL Pipeline Monitoring Dashboard7 minutes

1 readingTotal 10 minutes

Essential SQL Patterns for Pipeline Performance Dashboards10 minutes

2 assignmentsTotal 21 minutes

Create Production-Ready Pipeline Monitoring Dashboard18 minutes
Pipeline Monitoring Dashboard Knowledge Check3 minutes

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.

What's included

2 videos2 assignments

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.

What's included

3 videos1 reading2 assignments

3 videosTotal 26 minutes

The Hidden Pattern That Saved Netflix $50M: Correlation Analysis in Action3 minutes
Correlation Analysis Fundamentals for Data Engineering Applications11 minutes
Implementing Correlation Analysis in SQL for Business Intelligence12 minutes

1 readingTotal 10 minutes

Advanced Correlation Techniques for Production Data Systems10 minutes

2 assignmentsTotal 18 minutes

Correlation Analysis Mastery Assessment15 minutes
Correlation Analysis Techniques Knowledge Check3 minutes

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.