The Most Underused Prompt in Data Engineering
You've learned not to trust the first answer. So you read it carefully. You spot two problems. You fix them yourself, ship it, and move on. That's a r…
Team Management
⚑ Report a ProblemLatest Team Management news from Tech News
All topics
Culture
agents
ai
api
architecture
automation
beginners
career
claude
devchallenge
devops
discuss
javascript
llm
machinelearning
mcp
opensource
productivity
programming
python
react
saas
security
showdev
softwareengineering
startup
testing
tutorial
typescript
webdev
Designing a Community Skill for AWS Transform Custom: AWS Glue 5.0 Upgrade Readiness
TL;DR I designed a proposed AWS Transform Custom community skill that prepares Glue 2.0, 3.0, and 4.0 repositories for Glue 5.0. It separates safe mec…
Entry-Level Data Engineering Is Gone. Here's the Proof.
I've been on both sides of the data engineering hiring table for years. Interviewed candidates, been the candidate, watched the market shift underneat…
Databricks Workflows vs Airflow vs Dagster: Picking an Orchestrator
Every data team eventually asks the same question: what runs our pipelines, on what schedule, with what retry logic, and who gets paged when it fails.…
AI Data Lake and Lakehouse
The word "AI" appears in every data platform pitch now. Most of the time, it means nothing — a chatbot bolted onto a dashboard, an LLM that generates …
One Copy, Two Engines: Architecting a Governed Lakehouse Across Fabric and Azure Databricks
For most of the last decade, the honest answer to "should we standardize on Databricks or on the Microsoft data platform?" was: pick one and live with…
Cloud Bills Took a Decade to Get FinOps. AI Bills Won't Get That Long.
Watch what happened this month. Databricks moved Genie to pay-as-you-go. Every user gets a small free allowance, then the meter runs. And notice what …
What Is a Semantic Layer? A Practical Guide for Data Engineers
Your data warehouse has a table called orders . It has columns like amount , status , created_at , and customer_id . Now three people ask "What was Q1…
The AI Cheat Tool Your Interview Cannot See
I've been on hiring panels where we spent 45 minutes convinced a candidate was sharp. Articulate answers. Clean code. Solid reasoning. Then in the deb…
Privatise your Data Streams with Bring Your Own Cloud (BYOC)
TL;DR Traditional SaaS streaming requires exporting sensitive data to a vendor cloud, creating security risks and egress costs. BYOC reverses this mod…
GitOps for Geospatial Data: Building a Self-Healing, Zero-Cost Data Pipeline with GitHub Actions
Most data engineering and geospatial projects follow a predictable infrastructure blueprint: an ingestion cron job, an enterprise database (like PostG…
Scraping Indian government open data in 2026: what actually works
I maintain Village Finder , an open-source mapping project tracking over 78,000 Indian villages. It works by pulling daily raw updates straight from o…
Federation and the Lakehouse: Two Roads to Unified Data Access, and How to Know Which One to Take
Every data strategy document written this decade contains some version of the same sentence: we need a single place to access all our data. The senten…
Your Data Pipeline Is Probably More Fragile Than You Think
Most engineering teams don't think much about their data pipelines until something breaks. That's partly because a healthy pipeline is almost invisibl…
# Turning Data Quality Checks into a Measurable Trust Score
Most data quality problems do not announce themselves loudly. They do not always break a pipeline. They do not always throw an exception. They do not …
Your Data Engineering Take-Home Is Now 20 Hours of Free Work
I got a take-home assignment last year from a company I was genuinely excited about. "Should take about four hours," the recruiter said. Build an inge…
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 …
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…
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…
Building a PySpark and AWS Glue ETL Pipeline for Search Keyword Revenue Analysis
I published a public data engineering project that demonstrates a cloud-based ETL pipeline for analyzing web analytics search keyword revenue. The pro…
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,…
The Next Decade of Data Engineering: From Modern Data Stack to Data Engineering Harness
Over the past decade, the core evolution of data engineering has been the deconstruction and reconstruction of traditional data warehouse architecture…
ASF Project Spotlight: Apache Iceberg
Dipankar Mazumdar is the Director of Developer Relations at Cloudera, leading global developer initiatives across lakehouse architecture and AI. He pr…
Chronos vs Toto: Zero-Shot Forecasting Benchmark Results
Introduction Good forecasts help with capacity planning and quieter alerts. But one traffic spike or memory leak can make any forecast useless. The go…
Fabric AI Functions Turn GenAI Into a Data Pipeline Step
Originally published at https://shai-kr.github.io/data-ninja-ai-lab/blog/2026-05-24-fabric-ai-functions-data-workflows.html Most enterprise GenAI demo…