Data Engineering Resources

Database Normalization, ACID Properties, and SCDs: A Comprehensive Guide

Master database normalization, ACID properties, and Slowly Changing Dimensions (Types 0–3) with practical examples and performance best practices.

July 10, 2026

by arvind toorpu

CORE

· 2,827 Views · 4 Likes

Exploring A Few Java 25 Language Enhancements

Brief and with practical code examples that raise developers' curiosity and interest in exploring these language enhancements in detail.

July 10, 2026

by Horatiu Dan

CORE

· 2,736 Views · 2 Likes

Replacing Direct Storage URLs With a Media Proxy at Scale

Direct storage URLs broke under production constraints, so I replaced them with a UUID-based media proxy for auth, thumbnails, bulk downloads, and storage abstraction.

July 10, 2026

by Deepak Gupta

· 1,392 Views · 1 Like

Top 10 Best Places to Prepare for Your Next Data Engineer Interview

Candidates must demonstrate strong SQL, Python, data modeling, ETL, Spark, data warehousing, and system design expertise while solving real-world data challenges.

July 10, 2026

by Rahul Han

· 2,325 Views · 1 Like

Candidate Generation Decides Your Pipeline's Cost, Not the LLM

LLM-powered document intelligence pipelines rarely blow their budgets on summarization. The failure is one layer up: a missing triage and candidate generation layer.

July 9, 2026

by Deepak Gupta

· 2,167 Views · 1 Like

6 Types of AI Orchestration Every Tech Leader Needs to Know

Learn the six types of AI orchestration and how they help teams build reliable, scalable, and production-ready AI systems.

July 9, 2026

by Balaji Venkatasubramaniyar

· 2,619 Views · 2 Likes

The AI Reliability Gap: Why Enterprise AI Is Failing Long Before It Reaches Production

Enterprise AI isn't failing because models aren't smart enough. Learn why reliability, governance, and engineering are the real challenges in production.

July 9, 2026

by Igboanugo David Ugochukwu

CORE

· 2,189 Views · 1 Like

If You Can Write Acceptance Criteria, You Can Write an AI Routing Policy

Your AI Routing Policy isn't about picking the cheapest model. It's a repeatable team decision assigning each task to the cheapest sufficient path.

July 9, 2026

by Stefan Wolpers

CORE

· 1,893 Views · 1 Like

Azure Databricks vs Microsoft Fabric: An Honest Guide to When to Use What

Azure Databricks and Microsoft Fabric overlap, but they're built for different priorities. Databricks for data engineering, ML, open-source, and Spark workloads.

July 9, 2026

by Jubin Soni, FBCS

CORE

· 1,990 Views

Harness Engineering for AI: Why the Model Is Only Half the System

Learn harness engineering for AI and build production-ready systems with memory, guardrails, tools, verification, feedback, and observability.

July 8, 2026

by Manas Dash

CORE

· 2,234 Views · 1 Like

Getting Started With RabbitMQ in Spring Boot

Learn RabbitMQ basics with Spring Boot, including exchanges, queues, routing keys, consumers, and Docker Compose in a hands-on example.

July 8, 2026

by Gunter Rotsaert

CORE

· 2,346 Views

AI Is Making PHP Cool Again

The stack everyone called dead has an edge in the AI era, and it comes down to one boring thing: every Laravel project on earth puts the same file in the same place.

July 8, 2026

by Matt Watson

· 1,809 Views

Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks

This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.

July 8, 2026

by Jubin Soni, FBCS

CORE

· 1,622 Views · 1 Like

AI Won't Keep You from Hitting the Scalability Wall

AI coding tools can dramatically speed up integration builds — but speed isn't the bottleneck. The real issue is the long-term ownership cost.

July 8, 2026

by Bru Woodring

· 1,845 Views

Building an AI Incident Copilot: How I Automated the First 15 Minutes of Every Production Incident

incopilot is an open-source Python CLI that automates the first 15 minutes of production incident triage — collecting logs, detecting failure patterns, and incidents.

July 7, 2026

by Sudhakararao Sajja

· 3,093 Views · 1 Like

A Step-by-Step Guide to Implementing Columnar Tables in SQL Server

SQL Server columnar storage organizes data by columns instead of rows, delivering faster queries, better compression, and efficient analytics.

July 7, 2026

by arvind toorpu

CORE

· 2,773 Views · 1 Like

AI Can't Defend What It Can't See

AI can only defend what it can see. Give it incomplete data, and it won't warn you. It quietly reports everything as healthy while real attacks slip through unseen.

July 7, 2026

by Jithu Paulose

· 2,409 Views · 2 Likes

Designing Tool-Calling AI Agents That Survive Production: A LangGraph Approach

AI agents work in demos and break into production. This LangGraph tutorial builds tool-calling agents that are fail-safe: validated, bounded, and observable.

July 7, 2026

by Shubham Gupta

· 2,008 Views

Building a Mortgage Agent With FRED Data, FastAPI, and LLM Tool Calling

A walkthrough of an open-source intelligent FastAPI app that pairs Freddie Mac benchmarks from FRED with a first-time buyer chat assistant.

July 7, 2026

by Sushma Kukkadapu

· 2,428 Views

How to Build a Production-Ready RAG Pipeline With Vector DBs

RAG prototypes are easy. Production RAG is not. This covers vector DB tradeoffs, chunking patterns, re-ranking, and evaluation setups that hold up at scale.

July 6, 2026

by Mark Saxon

· 3,789 Views · 1 Like

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