Choosing a Healthcare Data Management Service Provider
Healthcare data projects tend to fail in the seams. The EHR exports one shape of patient data. The payer system expects another. Claims, labs, eligibi…
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Why Audit Trails Matter in ClickHouse®: Building Accountability, Compliance, and Security
When teams evaluate database platforms, the conversation usually revolves around performance, scalability, query optimization, and storage efficiency.…
You can do WHAT with a Kafka proxy?
At Current 2026, I realized that nobody knows exactly what a Kafka proxy can do. Most engineers and architects think it's just some kind of reverse-pr…
The Data Engineer Roadmap for 2026 (in an AI-Native World)
This is the narrated version of our free, interactive Data Engineer Roadmap . Same areas, same order, with a focus on the one thing each layer asks of…
What is the best real-time analytics database in 2026? An engineering buyer's guide
Traditional databases just can't keep up with high concurrency and low latency at the same time. The term "real-time" has become kind of meaningless. …
Vertica vs VoltDB (Volt Active Data): Key Differences, Use Cases & How to Choose in 2026
If you're building a modern data stack that requires either high-throughput transaction processing or large-scale analytical workloads, you've likely …
Building My First End-to-End ETL Pipeline with Airflow, BigQuery, and Docker
Recently, I completed my first full Data Engineering project: building an end-to-end ETL pipeline using real-world Australian weather data spanning 10…
Why Metadata-Driven ETL Frameworks Scale Better Than Hardcoded Pipelines — and Where They Don't
Over the years, I've seen many data platforms start with good intentions. A few scripts are created to move data from one system to another, and every…
Apache Data Lakehouse Weekly: June 4 to June 11, 2026
The lakehouse community spent this week arguing about versions, and the arguments mattered. Parquet contributors produced the single largest thread ac…
Modern Data Stack Migration — Day 1: Scaling to 8+ Companies with DRY Architecture and Chasing a $2M Discrepancy
Hello everyone! Following up on my previous post , Day 1 of my Modern Data Stack migration was an absolute rollercoaster of refactoring and deep data …
QN : Ingest and transform data in a lakehouse
lakehouse has two storage areas ; Files and Tables Files Store structured, queryable data by sql Supports schema definitions and ACID transactions Tab…
Apache Kafka Explained: A Practical Beginner Guide for Data Engineers
If you're learning data engineering, you'll probably meet Apache Kafka very early. You'll see it in job descriptions, system design diagrams, real-tim…
Extract data from Databases into DuckLake
Introduction In the evolving landscape of data engineering, DuckLake is emerging as a powerful solution for building data lakes with ACID transactions…
ETL Pipeline: Fetching Real-Time News Data with Python and Postgres
The best way to actually understand data engineering is to build something that breaks, fix it, and watch it successfully run. In this article, we bui…
Why I Don’t Let the LLM Decide Issue State
When you build an AI system for marketing performance monitoring, one tempting idea is to let the LLM decide everything. Campaign pacing is off. Creat…
I built a data-contract validator in pure Python (no pandas, no PyYAML) and it caught a 30% revenue ghost
A few months ago I spent the better part of a day chasing a bug that turned out not to be a bug at all. A downstream dashboard showed revenue had jump…
If the warehouse already has the data, why are we copying it elsewhere?
When we started working on Krenalis , we spent a lot of time reviewing how customer data typically flows through a modern data stack. One pattern kept…
What Is Agentic Workflow Consulting? A Practical Guide for Data Leaders
The Term Everyone Uses and Nobody Defines Your CTO came back from a conference and said the team needs to "go agentic." A vendor pitched you an "agent…
Using Microsoft Fabric Shortcuts to Avoid Duplicate Data Copies
Enterprise data platforms are really good at one thing: creating copies of the same data everywhere. Different teams copy the same curated folders int…
Why Dremio's Value Is Unique to Apache Iceberg Lakehouses and Agentic Analytics
Most data teams have already made two decisions, even if they haven't written them down yet. The first is that Apache Iceberg will be the table format…
Handling Time Zone Differences in Forex APIs: A Practical Developer’s Guide
Handling Time Zone Differences in Forex APIs: A Practical Developer’s Guide When I started building a multi-source forex data pipeline for a brokerage…
Supply Chain Sense: Merging Gemini AI and Math for Smart Retail Inventory
In neighbourhood retail markets, local Kirana stores, and hyper-local fulfilment centres, inventory management isn’t an administrative task—it’s a hig…
The Data Engineering Take-Home Assessment: How to Turn a 4-Hour Test Into a Job Offer
Most candidates treat the take-home assessment as a coding test. It is not. It is a professional communication test that happens to include coding. Th…
Data Engineering Interviews with No Industry Experience: A Playbook That Actually Works
I graduated in November 2025. My only formal work experience is a 6-month IT internship. I have never worked at a tech company, never contributed to a…
Kafka for Data Engineers: Core Concepts, KRaft, and the Patterns That Actually Work
If your Kafka Docker Compose still has a ZooKeeper service in it, your setup is already legacy. As of Kafka 4.0 (released March 2025), ZooKeeper is go…
Linux for Data Engineers: From Zero to Production
I run every data pipeline I build on Linux. PostgreSQL, Airflow, dbt, Docker, FastAPI — all of it runs on Linux, even when my laptop is Windows. Under…
From Data Lineage to Model Cards: The Practical Backbone of AI Governance
AI doesn't begin with algorithms. It begins with data, decisions, documentation, and governance. If you can't explain where your data came from, how i…
Rethinking Lakehouse Architecture Through Data Ownership: AWS vs. Snowflake
Original Japanese article : データの主導権から考えるAWSとSnowflakeのレイクハウスアーキテクチャ Introduction I'm Aki, an AWS Community Builder ( @jitepengin ). When designing a d…
Automated Client Reporting
In This Article The Reporting Problem at Scale Pipeline Architecture The Reporting Engine WoW Metrics and Pivot Tables Scheduling and Slack Alerting O…
How AI Is Reshaping the Data Engineer Role in 2026
What Changed in Data Engineer Job Descriptions Around 2023? For years, a Data Engineer job description was a known quantity: Python for pipeline code,…