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Advanced SQL for Data Pipeline Optimization

Ce cours n'est pas disponible en Français (France)

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Advanced SQL for Data Pipeline Optimization

Ce cours fait partie de Spécialisation "Level Up: Advanced SQL for Data Engineering"

Instructeur : Professionals from the Industry

Inclus avec

15 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Avancées

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

15 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Avancées

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Data Warehousing
Catégorie : Data Transformation
Catégorie : Data Processing
Catégorie : Data Integration
Catégorie : Verification And Validation
Catégorie : Systems Integration
Catégorie : Dimensionality Reduction
Catégorie : Performance Tuning
Catégorie : Data Integrity
Catégorie : Data Validation
Catégorie : Data Pipelines
Catégorie : SQL
Catégorie : Extract, Transform, Load
Catégorie : Data Quality
Catégorie : Performance Testing

Outils que vous découvrirez

Catégorie : Query Languages
Catégorie : JSON
Catégorie : Dashboard

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

mars 2026

Évaluations

28 affectations¹

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Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Ce cours fait partie de la Spécialisation "Level Up: Advanced SQL for Data Engineering"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 15 modules dans ce cours

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.

Détails du module

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

Inclus

3 vidéos1 lecture2 devoirs

3 vidéosTotal 15 minutes

Why Pipeline Automation Changes Everything3 minutes
Parameterized SQL Fundamentals for Dynamic Data Processing8 minutes
Building Parameterized dbt Models for Automated Processing4 minutes

1 lectureTotal 10 minutes

Building Reusable SQL Pipeline Components10 minutes

2 devoirsTotal 18 minutes

Build Your First Parameterized dbt Pipeline15 minutes
Parameterized SQL Knowledge Check3 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.

Inclus

3 vidéos1 lecture2 devoirs

3 vidéosTotal 15 minutes

Why Pipeline Analysis Saves Enterprises Millions3 minutes
Data Lineage and Pipeline Dependencies Analysis7 minutes
Tracing Data Flow in Complex Pipeline Dependencies5 minutes

1 lectureTotal 8 minutes

Enterprise Pipeline Documentation Standards8 minutes

2 devoirsTotal 18 minutes

SQL Pipeline Construction and Analysis Mastery Assessment15 minutes
Pipeline Analysis and Documentation Knowledge Check3 minutes

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

Inclus

4 vidéos1 lecture2 devoirs

4 vidéosTotal 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 lectureTotal 8 minutes

Statistical Methods for Performance Analysis 8 minutes

2 devoirsTotal 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.

Inclus

3 vidéos2 lectures2 devoirs1 laboratoire non noté

3 vidéosTotal 19 minutes

From Manual Headaches to Automated Excellence3 minutes
Building Configuration File Structures for Data Models 10 minutes
Creating an Automated Model Generation Script in Python6 minutes

2 lecturesTotal 18 minutes

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

2 devoirsTotal 15 minutes

Comprehensive Pipeline Automation Mastery Assessment10 minutes
Automation Script Development Knowledge Check 5 minutes

1 laboratoire non notéTotal 18 minutes

Automated Data Transformation Model Generator18 minutes

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

Inclus

3 vidéos1 lecture1 devoir

3 vidéosTotal 24 minutes

Why Data Normalization Through UNPIVOT Transforms Enterprise Analytics3 minutes
Understanding UNPIVOT Operations and Data Structure Trade-offs7 minutes
Implementing UNPIVOT Operations in SQL Server Management Studio15 minutes

1 lectureTotal 8 minutes

UNPIVOT Syntax Patterns and Implementation Strategies8 minutes

1 devoirTotal 5 minutes

UNPIVOT Operations and Data Transformation Trade-offs Assessment5 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.

Inclus

3 vidéos1 lecture3 devoirs

3 vidéosTotal 21 minutes

How Window Functions Transform Time-Series Analytics4 minutes
Mastering Window Function Syntax and PARTITION BY Logic7 minutes
Building Rolling Metrics with Window Functions in Azure Synapse Analytics11 minutes

1 lectureTotal 8 minutes

Advanced Window Function Patterns for Enterprise Analytics8 minutes

3 devoirsTotal 30 minutes

Comprehensive SQL Window Functions and Data Transformation Mastery Assessment10 minutes
Implement 7-Day Rolling Session Metrics for Enterprise Dashboard15 minutes
Advanced Window Functions and Rolling Metrics Mastery Check5 minutes

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

Inclus

4 vidéos1 lecture1 devoir

4 vidéosTotal 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-Step17 minutes

1 lectureTotal 10 minutes

Advanced Checksum Techniques for Enterprise Data Validation10 minutes

1 devoirTotal 3 minutes

Data Validation Fundamentals Knowledge Check3 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.

Inclus

2 vidéos1 lecture2 devoirs

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

Inclus

3 vidéos1 lecture1 devoir

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

Inclus

2 vidéos1 lecture2 devoirs

2 vidéosTotal 13 minutes

Reconciliation Rule Design Patterns and Implementation7 minutes
Building Conflict Analysis Matrices for Multi-Source Data6 minutes

1 lectureTotal 12 minutes

Field-Level Conflict Analysis and Reconciliation Strategies12 minutes

2 devoirsTotal 28 minutes

Design Comprehensive Reconciliation Rules for Multi-Source Customer Data20 minutes
Field-Level Conflict Analysis and Reconciliation Knowledge Check8 minutes

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

Inclus

2 vidéos1 lecture3 devoirs

2 vidéosTotal 7 minutes

When Performance Bottlenecks Cost Millions3 minutes
Performance Tuning Strategies and Implementation Approaches4 minutes

1 lectureTotal 12 minutes

Performance Measurement and Bottleneck Identification in Data Integration Systems12 minutes

3 devoirsTotal 38 minutes

Data Integration Performance and Optimization Mastery Assessment 15 minutes
Comprehensive Performance Analysis and Optimization Strategy Development20 minutes
Data Integration Performance Optimization Knowledge Check3 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.

Inclus

3 vidéos1 lecture1 devoir1 laboratoire non noté

3 vidéosTotal 22 minutes

Why JSON Transformation Drives Enterprise Analytics Success3 minutes
JSON Structure Analysis and Transformation Planning13 minutes
Implementing JSON Schema Discovery and Field Extraction5 minutes

1 lectureTotal 10 minutes

Enterprise JSON Processing Frameworks and Tools10 minutes

1 devoirTotal 8 minutes

JSON Transformation Concepts and Techniques8 minutes

1 laboratoire non notéTotal 60 minutes

Transform Semi-Structured JSON Data into Queryable Enterprise Schema60 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.

Inclus

3 vidéos1 lecture2 devoirs

3 vidéosTotal 17 minutes

Why Workload Analysis Transforms Database Performance3 minutes
Query Pattern Analysis and Performance Metrics8 minutes
Implementing Workload Analysis and Partitioning Strategy Design6 minutes

1 lectureTotal 10 minutes

Advanced Partitioning and Clustering Strategies10 minutes

2 devoirsTotal 26 minutes

Database Workload Analysis and Optimization Strategy Development18 minutes
Workload Analysis and Partitioning Strategy Principles8 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.

Inclus

2 vidéos2 lectures3 devoirs

2 vidéosTotal 12 minutes

Why Performance-Driven Migration Decisions Transform Enterprise Data Strategy4 minutes
Columnar vs Row-Store Architecture Performance Characteristics8 minutes

2 lecturesTotal 18 minutes

Migration Strategy Development and Risk Assessment10 minutes
Performance Benchmarking and Comparison Analysis8 minutes

3 devoirsTotal 43 minutes

Strategic Database Architecture Migration Analysis15 minutes
Comprehensive Database Architecture Migration Analysis20 minutes
Database Migration Strategy and Performance Evaluation8 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.

Inclus

4 lectures1 devoir

Obtenez un certificat professionnel

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