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Airflow vs Dagster vs Prefect: 2026 Pricing Compared
4+ day, 10+ hour ago (797+ words) All three tools solve the same underlying problem: run a sequence of interdependent tasks on a schedule or trigger, retry the ones that fail, and give engineers visibility into what ran and when. Beyond that shared goal, the three projects…...
Understanding Apache Airflow 3.3: Key Improvements, Features Every Data Engineer Should Know, and Real-World Use Cases.
5+ day, 19+ hour ago (267+ words) 1. The Task and Asset State Stores With the Task State Store Airflow 3.3 utilizes tasks to save pieces of metadata that persist across retries. Instead of starting over from scratch, a subsequent attempt of the same task can fetch the metadata,…...
Understanding Apache Airflow 3.3: Key Improvements, Features Every Data Engineer Should Know, and Real-World Use Cases
1+ week, 3+ day ago (1723+ words) Airflow 3.3.0 shipped on 6 July 2026, with 3.3.1 following about five weeks later. It's a much smaller release than 3.0 was, and that's fine. Nothing about how you write Dags has changed. What did change is a set of things most of us have…...
Building Production Data Pipelines With Medallion Lakehouse Architecture
1+ week, 4+ day ago (253+ words) The traditional data architecture has hit a wall. For decades, organizations faced a painful dilemma: Enter the Lakehouse architecture—unifying the best of both worlds by combining cheap, scalable object storage (like AWS S3, Azure ADLS, or Google Cloud Storage) with…...
How to integrate Apache Airflow with OpenLineage for end-to-end traceability
1+ week, 5+ day ago (786+ words) By the end of this walkthrough, every DAG run in your Airflow instance emits structured lineage events that name the exact tables each task read and wrote, and you can open a graph and answer "which upstream job produced this…...
Taming the Beast: Building a High-Performance ETL Pipeline for Apple Health’s Massive XML Exports
1+ week, 6+ day ago (422+ words) If you’ve ever tried to open an Apple Health export.xml file in VS Code, you’ve probably watched your RAM melt into a puddle of sadness. 🫠 Apple’s HealthKit data is a treasure trove of biological insights, but at the scale…...
The TechBeat: How I Built a Data Pipeline From Scratch Using Python (8/24/2026)
2+ week, 5+ day ago (49+ words) HackerNoon How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here....
How I Built a Data Pipeline From Scratch Using Python
3+ week, 1+ day ago (1165+ words) A data pipeline is a series of steps that move data from one or more sources, transform it into a usable format, and load it into a destination: a database, a data warehouse, a dashboard feed, or another system. The…...
I've built data pipelines on AWS, Azure and Snowflake. Here's what Palantir Foundry did that surprised me
1+ mon, 1+ week ago (310+ words) Senior data engineers are trained to be skeptical of proprietary platforms. When I entered a Palantir Foundry training bootcamp, I expected to find a slow, expensive alternative to the mature tools I know on AWS and Azure. What I found…...
The Python Library I Used to Build Data Pipelines That Could Survive Real-World Chaos
4+ week, 1+ day ago (31+ words) My first data pipeline worked beautifully as long as every CSV was perfectly formatted, every API responded …...