Advanced SQL for Data Pipeline Optimization

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Advanced SQL for Data Pipeline Optimization

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

Instructor: Professionals from the Industry

Included with

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15 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

15 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 ELT pipelines with parameterized SQL and create comprehensive data flow documentation for complex multi-stage processes.
Optimize pipeline performance through benchmarking, partitioning strategies, and automated testing to reduce processing time and costs.
Implement advanced SQL techniques including window functions, MERGE operations, and data validation frameworks for enterprise systems.
Design data reconciliation rules and slowly changing dimension logic to maintain data integrity across multiple source systems.

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Build your subject-matter expertise

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 15 modules in this course

You will build, optimize, and troubleshoot enterprise-grade data pipelines using advanced SQL techniques. This hands-on course combines data transformation, performance analysis, and system integration skills to prepare you for senior data engineering roles.

You'll gain practical experience with automated ELT processes, window functions for complex analytics, and data validation frameworks that ensure pipeline reliability. The course covers real-world scenarios like reconciling conflicting data sources, implementing slowly changing dimensions, and optimizing query performance across different storage architectures. What sets this course apart is its focus on production-ready skills. You'll work with actual pipeline scenarios, benchmark competing designs, and create reusable automation scripts. By completion, you'll confidently handle the data transformation challenges that senior engineers face daily. This integrated approach bridges the gap between basic SQL knowledge and advanced data engineering expertise, positioning you for roles in data architecture, pipeline optimization, and enterprise analytics infrastructure.

You will learn the fundamentals of building automated data processing workflows using parameterized SQL, transforming static queries into dynamic, reusable pipeline components.

What's included

3 videos1 reading2 assignments

3 videos Total 15 minutes

Why Pipeline Automation Changes Everything 3 minutes
Parameterized SQL Fundamentals for Dynamic Data Processing 8 minutes
Building Parameterized dbt Models for Automated Processing 4 minutes

1 reading Total 10 minutes

Building Reusable SQL Pipeline Components 10 minutes

2 assignments Total 18 minutes

Build Your First Parameterized dbt Pipeline 15 minutes
Parameterized SQL Knowledge Check 3 minutes

You will learn systematic approaches to analyzing complex data pipelines, tracing data lineage, and documenting transformation logic for enterprise-scale data infrastructure maintenance and troubleshooting.

What's included

3 videos1 reading2 assignments

3 videos Total 15 minutes

Why Pipeline Analysis Saves Enterprises Millions 3 minutes
Data Lineage and Pipeline Dependencies Analysis 7 minutes
Tracing Data Flow in Complex Pipeline Dependencies 5 minutes

1 reading Total 8 minutes

Enterprise Pipeline Documentation Standards 8 minutes

2 assignments Total 18 minutes

Pipeline Analysis and Documentation Knowledge Check 3 minutes
SQL Pipeline Construction and Analysis Mastery Assessment 15 minutes

You will learn evidence-based pipeline performance evaluation by systematically measuring execution metrics, analyzing runtime statistics, and making data-driven optimization decisions.

What's included

4 videos1 reading2 assignments

4 videos Total 26 minutes

The Performance Cost of Guessing Wrong 3 minutes
Fundamentals of Pipeline Performance Measurement 8 minutes
Tools and Techniques for Runtime Measurement 12 minutes
Hands-On Pipeline Performance Comparison Using SQL Profiling 4 minutes

1 reading Total 8 minutes

Statistical Methods for Performance Analysis 8 minutes

2 assignments Total 15 minutes

Performance Benchmarking Analysis Project 10 minutes
Pipeline Performance Evaluation Knowledge Check 5 minutes

You will develop automation skills to create scripts that read configuration specifications and generate complete data transformation models, enabling scalable and consistent pipeline development.

What's included

3 videos2 readings2 assignments1 ungraded lab

3 videos Total 19 minutes

From Manual Headaches to Automated Excellence 3 minutes
Building Configuration File Structures for Data Models 10 minutes
Creating an Automated Model Generation Script in Python 6 minutes

2 readings Total 18 minutes

Configuration-Driven Development Principles 10 minutes
Script Development Patterns for Code Generation 8 minutes

2 assignments Total 15 minutes

Automation Script Development Knowledge Check 5 minutes
Comprehensive Pipeline Automation Mastery Assessment 10 minutes

1 ungraded lab Total 18 minutes

Automated Data Transformation Model Generator 18 minutes

You will learn UNPIVOT to normalize datasets and should know basic SQL; familiarity with analytical concepts is helpful but not required.

What's included

3 videos1 reading1 assignment

3 videos Total 24 minutes

Why Data Normalization Through UNPIVOT Transforms Enterprise Analytics 3 minutes
Understanding UNPIVOT Operations and Data Structure Trade-offs 7 minutes
Implementing UNPIVOT Operations in SQL Server Management Studio 15 minutes

1 reading Total 8 minutes

UNPIVOT Syntax Patterns and Implementation Strategies 8 minutes

1 assignment Total 5 minutes

UNPIVOT Operations and Data Transformation Trade-offs Assessment 5 minutes

You will implement sophisticated window functions to calculate rolling averages, ranking metrics, and time-series analysis that power enterprise analytical dashboards and reporting systems.

What's included

3 videos1 reading3 assignments

3 videos Total 21 minutes

How Window Functions Transform Time-Series Analytics 4 minutes
Mastering Window Function Syntax and PARTITION BY Logic 7 minutes
Building Rolling Metrics with Window Functions in Azure Synapse Analytics 11 minutes

1 reading Total 8 minutes

Advanced Window Function Patterns for Enterprise Analytics 8 minutes

3 assignments Total 30 minutes

Implement 7-Day Rolling Session Metrics for Enterprise Dashboard 15 minutes
Advanced Window Functions and Rolling Metrics Mastery Check 5 minutes
Comprehensive SQL Window Functions and Data Transformation Mastery Assessment 10 minutes

You will learn automated checksum validation techniques to systematically verify data transformation accuracy and flag discrepancies before they impact downstream systems.

What's included

4 videos1 reading1 assignment

4 videos Total 39 minutes

Why Data Validation Saves Careers and Companies 3 minutes
Fundamentals of Checksum-Based Data Validation 8 minutes
SQL Checksum Implementation Walkthrough 11 minutes
Building Automated Validation Workflows Step-by-Step 17 minutes

1 reading Total 10 minutes

Advanced Checksum Techniques for Enterprise Data Validation 10 minutes

1 assignment Total 3 minutes

Data Validation Fundamentals Knowledge Check 3 minutes

You will architect modular SCD2 (Slowly Changing Dimension Type 2) logic that can be deployed across multiple dimensional tables to systematically track historical changes with enterprise-grade reliability.

What's included

2 videos1 reading2 assignments

2 videos Total 28 minutes

SCD2 Implementation Fundamentals and Reusable Logic Design 13 minutes
Building Parameterized SCD2 Logic Step-by-Step 15 minutes

1 reading Total 10 minutes

Enterprise SCD2 Architecture Patterns and Best Practices 10 minutes

2 assignments Total 13 minutes

SCD2 Implementation and Architecture Knowledge Check 3 minutes
Enterprise SCD2 Mastery Assessment 10 minutes

You will learn SQL MERGE statement implementation for atomic upsert operations on target tables in enterprise data integration scenarios.

What's included

3 videos1 reading1 assignment

You will systematically analyze field-level data conflicts from multiple sources and design comprehensive reconciliation rules for reliable data integration.

What's included

2 videos1 reading2 assignments

2 videos Total 13 minutes

Reconciliation Rule Design Patterns and Implementation 7 minutes
Building Conflict Analysis Matrices for Multi-Source Data 6 minutes

1 reading Total 12 minutes

Field-Level Conflict Analysis and Reconciliation Strategies 12 minutes

2 assignments Total 28 minutes

Design Comprehensive Reconciliation Rules for Multi-Source Customer Data 20 minutes
Field-Level Conflict Analysis and Reconciliation Knowledge Check 8 minutes

You will systematically evaluate data integration performance metrics and develop targeted tuning recommendations for optimizing system efficiency.

What's included

2 videos1 reading3 assignments

2 videos Total 7 minutes

When Performance Bottlenecks Cost Millions 3 minutes
Performance Tuning Strategies and Implementation Approaches 4 minutes

1 reading Total 12 minutes

Performance Measurement and Bottleneck Identification in Data Integration Systems 12 minutes

3 assignments Total 38 minutes

Comprehensive Performance Analysis and Optimization Strategy Development 20 minutes
Data Integration Performance Optimization Knowledge Check 3 minutes
Data Integration Performance and Optimization Mastery Assessment 15 minutes

You will learn systematic approaches to transforming massive volumes of semi-structured JSON data into queryable, analysis-ready formats using enterprise-scale batch processing techniques.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videos Total 22 minutes

Why JSON Transformation Drives Enterprise Analytics Success 3 minutes
JSON Structure Analysis and Transformation Planning 13 minutes
Implementing JSON Schema Discovery and Field Extraction 5 minutes

1 reading Total 10 minutes

Enterprise JSON Processing Frameworks and Tools 10 minutes

1 assignment Total 8 minutes

JSON Transformation Concepts and Techniques 8 minutes

1 ungraded lab Total 60 minutes

Transform Semi-Structured JSON Data into Queryable Enterprise Schema 60 minutes

You will learn systematic approaches to analyzing database workload patterns, identifying optimization opportunities, and designing intelligent partitioning and clustering strategies that dramatically improve query performance while reducing operational costs.

What's included

3 videos1 reading2 assignments

3 videos Total 17 minutes

Why Workload Analysis Transforms Database Performance 3 minutes
Query Pattern Analysis and Performance Metrics 8 minutes
Implementing Workload Analysis and Partitioning Strategy Design 6 minutes

1 reading Total 10 minutes

Advanced Partitioning and Clustering Strategies 10 minutes

2 assignments Total 26 minutes

Database Workload Analysis and Optimization Strategy Development 18 minutes
Workload Analysis and Partitioning Strategy Principles 8 minutes

You will learn comprehensive performance evaluation methodologies, conduct rigorous comparison analysis between storage architectures, and develop data-driven migration strategies that optimize enterprise database investments through quantitative business justification.

What's included

2 videos2 readings3 assignments

2 videos Total 12 minutes

Why Performance-Driven Migration Decisions Transform Enterprise Data Strategy 4 minutes
Columnar vs Row-Store Architecture Performance Characteristics 8 minutes

2 readings Total 18 minutes

Migration Strategy Development and Risk Assessment 10 minutes
Performance Benchmarking and Comparison Analysis 8 minutes

3 assignments Total 43 minutes

Comprehensive Database Architecture Migration Analysis 20 minutes
Database Migration Strategy and Performance Evaluation 8 minutes
Strategic Database Architecture Migration Analysis 15 minutes

You create a comprehensive data pipeline optimization system that integrates SQL automation, performance analysis, and data transformation techniques. This project combines advanced SQL skills with pipeline engineering practices to build, analyze, and optimize production-ready data workflows.

What's included

4 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Professionals from the Industry

307 Courses 44,329 learners

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