Byte-Sized Wisdom·Oct 24Do We Really Need Spark for Every Data Pipeline? A Look at DuckDB, Polars, and dbtChoosing the right data engineering tools is less about following trends and more about understanding the problem we are trying to solve.
Lumina·Apr 10Designing for Failure: Idempotency in Data PipelinesPipelines fail. It’s not a matter of if — it’s a matter of when. A network blip, an out-of-memory crash, a timeout from a downstream API…A response icon1A response icon1
Vitarag Shah·Dec 3, 2025The Ultimate Guide to Data Pipeline Automation (2025)TL;DR: Data Pipeline Automation
Nkem Onyemachi·Aug 20, 2025Data Load Tool (dlt) Series 3: Pagination , Authentication & dlt ConfigurationPhoto by the blowup on Unsplash
InLeolytixbyDivya Bajaj·Jul 17, 2025Why We Chose dlt (Data Load Tool) — And Why It Might Be Right for YouWe needed custom pipelines, not custom plumbing — that’s why we chose dlt.
Lovely Pandey·Jun 10, 2025Building Real-Time ETL Pipelines with Apache KafkaHere’s what I’ve learned — and what every data engineer should know about streaming ETL.
InOperations Research BitbySanzida Akhter Anee·May 20, 2025Pipeline Management for Data Analysis in Bioinformatics: Why You Should CareWorkflow managers for a bioinformatics pipeline.
Data Intuitive·Apr 23, 2025Part 3: Building Powerful Workflows with Viash ComponentsTL;DR: Viash transforms how you build bioinformatics workflows by providing reusable, tested components that integrate seamlessly into your…
Yash Hulsurkar·Mar 27, 2025Managing Data Pipelines with Mage AI: Building a Movie Recommendation SystemIn modern data science and machine learning workflows, effective data pipelines are essential for transforming raw data into valuable…A response icon1A response icon1
Nkem Onyemachi·Dec 30, 2024Data Load Tool (dlt) Series: Getting Started with Pipelines Part 1IntroductionA response icon1A response icon1
