Automate, Analyze, and Validate Data Quality

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Automate, Analyze, and Validate Data Quality

This course is part of SQL at Scale: Querying, Transforming, and Governing Specialization

Instructor: Hurix Digital

3 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Automated data quality testing embedded in pipelines prevents downstream issues more effectively than reactive manual checks.
Systematic root cause analysis requires methodical investigation of data processes, transformation logic, and system logs beyond surface errors.
Reusable SQL validation frameworks built on database metadata enable scalable data governance across entire enterprise data ecosystems.
Proactive data quality architecture creates trust in data-driven systems and prevents costly business decisions based on corrupted information.

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This course is part of the SQL at Scale: Querying, Transforming, and Governing Specialization

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

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There are 3 modules in this course

Data quality failures cost organizations millions in bad decisions and lost trust. This advanced course transforms you into a data quality architect who can prevent these failures before they happen.

This Short Course was created to help data engineers and analysts accomplish bulletproof data validation automation that catches issues before they impact business decisions. By completing this course, you'll be able to embed automated quality checks directly into your data pipelines, systematically diagnose validation failures to their root cause, and build reusable SQL frameworks that scale across your entire data ecosystem. By the end of this course, you will be able to: - Apply automated data quality tests to data models - Analyze validation failures to pinpoint the root cause - Create a reusable SQL validation framework based on table statistics This course is unique because it focuses on building systematic, code-based validation solutions rather than manual testing approaches, giving you the skills to automate data governance at enterprise scale. To be successful in this project, you should have a background in SQL, data pipeline concepts, and database system fundamentals.

Learners 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

Learners 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

Learners 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

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

1 ungraded labTotal 20 minutes

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

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Instructor

Hurix Digital

Coursera

387 Courses33,948 learners

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