Modules

AWS vs. Azure

AWS vs. Azure vs. GCP – Which Cloud Should You Learn?

Choosing a cloud platform to learn can feel overwhelming, especially with the big three—AWS, Azure, and Google Cloud Platform (GCP)—leading the charge. Each has its strengths and unique features, making them vital in today’s tech landscape. If you’re aiming to enhance your career in system design, data engineering, or making a career switch, getting a...

By: Chris Garzon | March 2, 2025 | 12 mins read
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The Ultimate PySpark Practice Questions

What Challenges Will This Module Solve? Mastering PySpark isn’t just about learning syntax — it’s about applying it to real-world data problems. Many engineers struggle with inefficient transformations, slow queries, and debugging distributed workloads. This module is designed to help you write optimized PySpark code, handle large datasets efficiently, and troubleshoot common issues. Key challenges...

By: Chris Garzon | March 1, 2025 | 4 mins read
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Spark Tutorial and Projects: Building Scalable Data Pipelines with Apache Spark

Apache Spark has become a cornerstone for building scalable data pipelines, enabling data engineers to process massive volumes of data efficiently. Designed for speed and flexibility, Spark offers a unified platform ideal for tasks ranging from batch processing to real-time data streaming. Its ability to distribute computation across clusters makes it an essential tool for...

By: Chris Garzon | March 1, 2025 | 14 mins read
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What to Include in a Data Engineering Portfolio to Stand Out

In today’s competitive job market, having a standout data engineering portfolio is not just advantageous—it’s essential. Your portfolio acts as a prime showcase of your skills and experience, proving to potential employers that you have what it takes to succeed in the field. With the right projects and presentation, your portfolio can set you apart...

By: Chris Garzon | March 1, 2025 | 5 mins read
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How I Got Hired as a Data Engineer Without a Degree

The tech world is buzzing, and at the heart of it lies data engineering. With a staggering increase in demand, many folks find themselves contemplating non-traditional pathways to enter this field. That was me, a few years ago. I made a switch from my previous career to become a data engineer without a formal degree....

By: Chris Garzon | March 1, 2025 | 4 mins read
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Apache Airflow

The Best Free Courses to Learn Apache Airflow in 2025

Apache Airflow is becoming essential for data engineers and career shifters, especially in 2025. It simplifies task automation and workflow management, making it a must-know tool for anyone in the data field. If you’re looking to enhance your skills without breaking the bank, you’re in luck. There are plenty of free courses available this year...

By: Chris Garzon | March 1, 2025 | 8 mins read
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Complete Guide to Data Engineer Interview Prep

Preparing for a data engineering interview can feel overwhelming, but it doesn’t have to be. The right strategies can make all the difference. This guide covers the technical skills, practice strategies, and interview-day expectations that can help you prepare with confidence. Resources like Data Engineer Academy offer support tailored to your needs, ensuring you’re fully...

By: Chris Garzon | March 1, 2025 | 14 mins read
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How to Build an Automated Data Extraction Pipeline from APIs

In today’s data-driven world, automated data extraction pipelines are essential for efficient and timely data analysis. They simplify the process of gathering data from various sources, especially APIs, which serve as crucial gateways to diverse datasets. This post will guide you through building your own automated data extraction pipeline from APIs. You’ll learn the step-by-step...

By: Chris Garzon | March 1, 2025 | 16 mins read
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