Data Engineering

Outgrowing Ponder? This guide walks through migrating your indexer to Envio HyperIndex — keeping your...

Introduction Modern data pipelines are designed to process data continuously, whether hourly, daily,...

Learn how to write a US-data-engineering cover letter from an Indian IT services background. Includes a concrete before/after bullet rewrite and a copy-paste ch

Building ossfind.com's data pipeline: two-phase seeding, GitHub API fetching, Claude Haiku summaries, and the DO NOTHING bug that silently erased polished conte

If you manage a ClickHouse cluster in production, you may have hit duplicate rows or the "too many...

Build your first Python Data pipeline using the News API, and make some sense of the...

Apache Iceberg looked like the answer to everything when we first adopted it. Open format, ACID...

Take-homes grew from 4 hours to 20. No pay, no feedback, AI banned with no rubric updates. The DE interview is now just unpaid consulting.

As ClickHouse® deployments grow beyond a single server, ensuring high availability, scalability, and...

Apache Airflow has become one of the most widely used workflow orchestration platforms for building,...

Why I chose this topic: In my first year as a junior engineer, I pushed a non-idempotent job that...

Every data engineer who works across platforms knows this pain: You build a clean ingestion layer...

In a distributed analytical gbase database, many performance issues are baked in at the table design...

Legacy ETL modernization is often described as a technology migration. Move DataStage jobs to...

There is a quiet absurdity at the center of most data work, and once you notice it you cannot stop...

The AWS Data Engineer Associate is one of the newer associate-level certs, and because it's new, the...

12 real pipeline architecture interview questions with answers: batch vs streaming, idempotency, backfills, DAGs, schema evolution, and monitoring.

One of the reasons ClickHouse delivers exceptional analytical performance is its ability to optimize...

How a 17-feed RSS pipeline stays alive when TOI, NDTV, Moneycontrol, The Wire, and Scroll.in all break differently. Fault-tolerance patterns, source quality sco

So, yes. Today's goal is to get the 30hr SQL Bootcamp completed (or at least as much as I can), I am...

Original Japanese article: Iceberg × Glue Data Catalogのスキーマ変更履歴をaws glue get-table-versionsで確認する ...

GBase 8a, as an MPP analytical database, does not use WAL transaction logs. Instead, it relies on the...

A practical build-in-public note on automating repetitive data engineering artifacts from source-to-target mapping metadata.

apparently i need to build in public and create a personal brand to get a job, which tbh is a big big...

TL;DR Traditional decoupled ETL pipelines (like the "Modern Data Stack") are too brittle...

Over the years, I've seen many data platforms start with good intentions. A few scripts are created...

Build observability for data pipelines: key metrics, logs, SLAs, alerts, dashboards, and automated runbooks to cut MTTR and meet delivery SLAs.

The model_used column, upgrade query pattern, and fallback chain I use to progressively enrich three Turso-backed Astro directories with Claude Haiku.

Executive Summary go-intake is a minimalist, streaming-first ETL toolkit for Go developers...

If you're learning data engineering, you'll probably meet Apache Kafka very early. You'll see it in...

When you are starting out in Data Engineering, it is easy to focus entirely on writing pristine...

While building my ETL pipeline project, I ran into a common beginner problem: Running Apache Airflow...

​We just deployed a major update to our SQL Server web sandbox, moving from an individual tool to a...

Recently, I started building an ETL pipeline project to better understand how modern data systems...

TL;DR — The DIFP protocol was designed to be data-compact and geo-aware from day one. We recently...

Take-homes ballooned from 3 hours to 20. Companies get a free pipeline build. You get a rejection. Here's how to spot it and push back.

Datacenters struggling to meet demands for compute amid rise of bottlenecks. Hardware eats the world with HBM Chip shortage.

I recently finished building a multi-channel data pipeline to solve a specific problem: consolidating...

Netflix built Polaris, Autotune, and janitors to run an intelligent Iceberg lakehouse. You can easily do it too.

Data is the backbone of decision-making in today’s organization. Information is moved from several...

ETL Testing Interview Questions & Answers — A Complete Deep-Dive Guide etl testing...

TL;DR: Docker Compose lets you spin up a full local data stack — Airflow, PostgreSQL, Spark, Redis —...

Practical strategies to reduce lakehouse cloud spend: storage tiering, partitioning, compaction, compute autoscaling, caching, and governance for cost

GCP data engineering rests on four pillars every Google Cloud data team ships against: BigQuery (the...

aws data engineering is the umbrella for every pipeline pattern you ship on top of Amazon S3 — and...

azure data engineering is built on three flagship services every modern Azure team ships on: Azure...

In part 1 we looked at the Dataform CompilationResult and WorkflowInvocation objects. Let's follow up...

This is Part 12 of a 15-part Apache Iceberg Masterclass. Part 11 covered metadata tables. This...