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Safe SQL Data Manipulation

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

Instructor: Hurix Digital

Included with

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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

Advanced SQL patterns with CTEs enable safe bulk operations while maintaining data integrity and audit capabilities.
Hash-based sampling provides scalable data drift detection without full table comparisons across large datasets.
Idempotent, append-only patterns preserve data lineage while ensuring script reliability in automated pipelines.
Production data engineering prioritizes safety, auditability, and recovery through defensive programming practices.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

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.

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 3 modules in this course

Transform your data engineering capabilities with enterprise-grade SQL techniques that ensure data integrity at scale. This course empowers data professionals to execute complex bulk modifications safely, detect subtle data changes through advanced sampling techniques, and build bulletproof data pipelines with versioned updates.

By completing this course, you'll master sophisticated SQL patterns used by senior data engineers at leading technology companies. You'll gain confidence in performing large-scale data operations while maintaining complete audit trails and data lineage. By the end of this course, you will be able to: • Execute controlled bulk data modifications with advanced SQL • Implement cryptographic hash-based data validation • Build idempotent, versioned data update systems This course is unique because it combines advanced SQL techniques with real-world data engineering practices, focusing on safety, auditability, and scalability in production environments. To be successful in this course, you should have solid SQL experience and understanding of database fundamentals.

Module details

Learners will master enterprise-grade SQL patterns using CTEs, transaction control, and audit logging to safely execute bulk data modifications with complete traceability.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videosTotal 24 minutes

Why Advanced SQL Techniques Matter in Production Data Engineering2 minutes
Advanced SQL Implementation: Building Production-Ready Bulk Operations6 minutes
Step-by-Step: Building Advanced SQL Bulk Operations with Full Audit Trail16 minutes

1 readingTotal 12 minutes

Enterprise SQL Patterns: CTEs, Transaction Control, and Audit Design12 minutes

1 assignmentTotal 3 minutes

Advanced SQL Techniques Knowledge Check3 minutes

1 ungraded labTotal 20 minutes

Enterprise Bulk Data Operations with Advanced SQL20 minutes

Learners will implement cryptographic hash-based validation systems to detect data drift and verify transformations across large datasets without requiring full table comparisons.

What's included

3 videos1 reading1 assignment

3 videosTotal 17 minutes

When Silent Data Changes Cost Millions: The Hidden Threat of Undetected Drift3 minutes
Implementing Hash-Based Data Drift Detection: Practical Patterns for Enterprise Systems8 minutes
Building Hash-Based Data Validation Systems in SQL6 minutes

1 readingTotal 12 minutes

Cryptographic Hash-Based Data Validation: Theory and Enterprise Applications12 minutes

1 assignmentTotal 3 minutes

Hash-Based Data Drift Detection Knowledge Check3 minutes

Learners will design and implement idempotent, append-only data update systems that preserve complete data lineage while ensuring script reliability and repeatability in automated pipelines.

What's included

3 videos1 reading2 assignments

3 videosTotal 20 minutes

When Data Updates Go Wrong: The Million-Dollar Cost of Non-Idempotent Scripts3 minutes
Building Idempotent Data Update Scripts: Implementation Patterns and Best Practices11 minutes
Step-by-Step: Building Production-Ready Idempotent Data Scripts6 minutes