Automate, Optimize, and Benchmark Data Pipelines

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Automate, Optimize, and Benchmark Data Pipelines

This course is part of multiple programs.

Instructor: Hurix Digital

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2 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Performance measurement and evidence-based decisions rely on comparing execution metrics to improve data engineering efficiency.
Config-driven model generation cuts manual work, keeps projects consistent, and supports scalable data transformation.
Pipeline optimization uses repeated measurement and programmatic fixes to deliver lasting performance gains.
Modern data engineering succeeds by creating reusable, maintainable systems that adapt to changing needs while preserving performance.

Skills you'll gain

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There are 2 modules in this course

Did you know that two pipelines performing the same task can differ in run time by over 10x depending on design choices? Benchmarking and automation are essential for building fast, scalable, and cost-efficient data systems.

This Short Course was created to help data engineers and pipeline architects optimize data processing systems through performance benchmarking and automation scripting to enhance efficiency and scalability in enterprise environments. By completing this course, you will be able to compare competing pipeline designs using run-time metrics, justify the most efficient approach, and automate the creation of transformation models using configuration-driven scripts—skills that help you build smarter, faster, and more reliable data pipelines. By the end of this course, you will be able to: Evaluate competing pipeline designs by comparing run-time statistics to justify the faster option. Create an automated script to generate data transformation models from configuration files. This course is unique because it blends performance engineering with automation, giving you practical experience in benchmarking real pipelines and generating transformation workflows programmatically to support large-scale data operations. To be successful in this project, you should have: SQL experience Data transformation knowledge Basic scripting skills Familiarity with pipeline architecture

Learners will master 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 videosTotal 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 readingTotal 8 minutes

Statistical Methods for Performance Analysis 8 minutes

2 assignmentsTotal 15 minutes

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

Learners 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 videosTotal 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 readingsTotal 18 minutes

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

2 assignmentsTotal 15 minutes

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

1 ungraded labTotal 18 minutes

Automated Data Transformation Model Generator18 minutes

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Instructor

Hurix Digital

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387 Courses33,948 learners

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