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The Only Guide You’ll Need for Testing Your Data Pipelines With Confidence
By the end, you’ll walk away with a working pipeline test suite, custom GX checkpoints, and a README you’d be proud to ship.
May 1
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Yordan Ivanov
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The Only Guide You’ll Need for Testing Your Data Pipelines With Confidence
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Graph Data Structures for Data Engineers Who Never Took CS101
Your gentle intro to graphs through real examples from data pipelines, DAGs, and lineage — designed for engineers who never learned this in school.
Apr 23
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Yordan Ivanov
21
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Graph Data Structures for Data Engineers Who Never Took CS101
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13 Command-Line Tools to 10x Your Productivity as a Data Engineer
If you work with data and live in the terminal, these CLI tools belong in your daily toolkit. Lightweight, fast, and built for real productivity.
Apr 2
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Yordan Ivanov
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13 Command-Line Tools to 10x Your Productivity as a Data Engineer
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Meet uv: The Blazing-Fast Python Package Manager Data Engineers Love
Say goodbye to sluggish dependency management. uv is a modern, high-performance package manager designed for Python power users. Here’s everything you…
Mar 19
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Yordan Ivanov
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Meet uv: The Blazing-Fast Python Package Manager Data Engineers Love
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Mastering Apache Airflow: The Hands-On Guide to Workflow Automation
From setting up Apache Airflow to writing dynamic DAGs, this hands-on tutorial covers everything you need to know to master workflow automation and take…
Mar 1
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Yordan Ivanov
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Mastering Apache Airflow: The Hands-On Guide to Workflow Automation
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PySpark Internals Explained: Essential Guide for New Data Engineers
Behind the scenes of PySpark: decode its architecture, learn how it handles transformations and actions, and optimise your workflows for high-speed data…
Feb 19
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Yordan Ivanov
13
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PySpark Internals Explained: Essential Guide for New Data Engineers
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Data Lakes For Complete Noobs: What They Are and Why The Hell You Need Them
Everybody around you and me talk about warehouses and lakehouses. Here’a why data lakes are not dead yet
Feb 5
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Yordan Ivanov
30
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Data Lakes For Complete Noobs: What They Are and Why The Hell You Need Them
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Level-Up Data Engineering: Write Rock-Solid Python With Strict Typings
You are reading Level-Up Data Engineering — a special monthly minicourse series designed to turn mid-level data engineers into senior.
Feb 1
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Yordan Ivanov
13
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Level-Up Data Engineering: Write Rock-Solid Python With Strict Typings
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CSV vs. Parquet vs. AVRO: Pick the Optimal Format for Your Data Pipeline
Not all file formats are equal. Learn when to use CSV, Parquet, or AVRO for the best balance of performance, scalability, and storage efficiency.
Jan 22
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Yordan Ivanov
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CSV vs. Parquet vs. AVRO: Pick the Optimal Format for Your Data Pipeline
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Struggling with Keeping Database Environments in Sync? Here’s My Proven Fix
Are you stuck managing chaotic database environments? Discover how I implemented a proven, hassle-free approach to effortlessly sync dev and production…
Jan 15
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Yordan Ivanov
9
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Struggling with Keeping Database Environments in Sync? Here’s My Proven Fix
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Merge vs Rebase in Git: Data Engineer’s Guide to Choosing the Right Workflow
Learn the inner workings of merge and rebase in Git, uncover their key differences, and get actionable advice on when to use each.
Jan 8
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Yordan Ivanov
12
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Merge vs Rebase in Git: Data Engineer’s Guide to Choosing the Right Workflow
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Git for Data Engineers: Unlock Version Control Foundations in 10 Minutes
From zero to productive: an easy-to-follow guide to understanding Git’s core concepts and applying them to real-world data engineering projects.
Dec 18, 2024
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Yordan Ivanov
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Git for Data Engineers: Unlock Version Control Foundations in 10 Minutes
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