Data Engineering Resources

Training a Neural Network Model With Java and TensorFlow

Learn how to train a neural network model using the TensorFlow platform with Java and using a pre-trained model in a proper Spring Boot application.

April 17, 2026

by George Pod

· 3,253 Views · 1 Like

Multithreading in Modern Java: Advanced Benefits and Best Practices

Multithreading remains one of Java’s most powerful capabilities, but modern Java versions have made it significantly easier to build scalable concurrent applications.

April 17, 2026

by Muhammed Harris Kodavath

· 3,494 Views · 3 Likes

Fine-Tuning of Spring Cache

Caching is a fundamental concept for making web applications faster and more scalable. In the following, I explain how to configure and optimize Spring caching.

April 17, 2026

by Constantin Kwiatkowski

· 2,601 Views · 1 Like

AI-Powered Dev Workflows: How SWEs Are Shipping Faster in 2026

Boost your velocity with AI-orchestrated workflows. Learn best practices for prompt engineering, automated reviews, and secure code generation.

April 17, 2026

by Jubin Soni, FBCS

CORE

· 2,981 Views · 1 Like

Part II: The Network That Doesn't Exist: Zero Trust, Service Meshes, and the Slow Death of Perimeter Security

This article comes from a technology correspondent who has spent fifteen years watching the perimeter dissolve in slow motion.

April 17, 2026

by Igboanugo David Ugochukwu

CORE

· 2,948 Views

Advanced Auto Loader Patterns for Large-Scale JSON and Semi-Structured Data

Databricks Auto Loader efficiently ingests JSON and semi-structured files into Delta Lake, handling schema evolution and large-scale streaming.

April 16, 2026

by Seshendranath Balla Venkata

· 2,642 Views · 1 Like

Beyond Fail-Safe: Designing Fail-Operational State Machines for Physical AI

When encountering a fault, physical AI cannot return error codes or reset. It must be fail-operational to safely degrade functionality and maintain physical control.

April 16, 2026

by Nishant Bhanot

· 2,958 Views · 1 Like

How To Build A White-label AI Chatbot: Here's the Complete Process

Steps to build a fully white-label AI chatbot using RAG-based conversational AI, STT/TTS, and a low-code JavaScript widget.

April 16, 2026

by Alexander Samuel

· 2,793 Views

Stop Burning Money on AI Inference: A Cloud-Agnostic Guide to Serverless Cost Optimization

Most teams waste money on AI inference. Five cloud-agnostic tactics—model routing, prompt trimming, response caching, smart batching, GPU offloading—can cut costs 40‑80%.

April 16, 2026

by Rajesh Kumar Pandey

· 2,807 Views · 1 Like

The Architecture Tax: What Nobody Tells You About Deploying LLMs in Production

This article is by a technology correspondent who has seen too many AI pilots fail in staging — and too few engineers ask why.

April 16, 2026

by Igboanugo David Ugochukwu

CORE

· 3,106 Views

Code Security Remediation: What 50,000 Repositories Reveal About PR Scanning

An analysis of 50,000+ repositories shows PR-detected vulnerabilities get fixed 9x faster. Here's what the data says about when and where you catch security issues.

April 15, 2026

by Braden Riggs

· 3,317 Views · 2 Likes

When Kubernetes Breaks Session Consistency: Using Cosmos DB and Redis Together

Cosmos DB stores durable state; Redis acts as a coordination layer, enabling predictable, stateless scaling without sticky sessions, strong consistency, or high costs.

April 15, 2026

by Vikas Mittal

· 2,684 Views

Architecting the Future of Research: A Technical Deep-Dive into NotebookLM and Gemini Integration

Explore how NotebookLM and Gemini 1.5 Pro revolutionize research through source grounding, long context windows, and content pipelines.

April 15, 2026

by Jubin Soni, FBCS

CORE

· 2,796 Views

Microsoft Fabric AI Functions: A Practical Overview for Data Engineers

The article reviews and compares AI capabilities in Microsoft Fabric's Spark Notebooks, focusing on accuracy and performance.

April 15, 2026

by Iurii Iurchenko

· 2,872 Views · 1 Like

Runtime FinOps: Making Cloud Cost Observable

Treat cloud cost as a real-time system metric tied to deployments. With tagging, CI/CD estimates, and alerts to service owners, teams can catch spend spikes early.

April 15, 2026

by David Iyanu Jonathan

· 2,937 Views

Mastering Gemma 4

Master Gemma 4 with this deep dive into its architecture, distillation training, and Python implementation for production AI workflows.

April 15, 2026

by Jubin Soni, FBCS

CORE

· 3,530 Views

AI-Driven DevOps for SaaS: From Reactive to Predictive Pipelines

LLMs automate risk analysis, config generation, and incident response boosting speed, reliability, and developer efficiency.

April 15, 2026

by Suresh Kurapati

· 2,856 Views

Code Too Cheap to Meter

In the coming era of disposable software, exploring what it means for engineers and how it will change the future of engineering.

April 15, 2026

by Clayton Haight

· 2,454 Views

The ID That Costs Millions: Why API Authorization Failures Keep Winning

By a cybersecurity correspondent with field experience across three continents and a front-row seat to more than a few corporate meltdowns.

April 14, 2026

by Igboanugo David Ugochukwu

CORE

· 2,663 Views

How Online Databases Replicate Public Records: A Look at Data Aggregation

Many online databases are built by aggregating public records from different sources. Once collected and indexed, the same info can spread across multiple websites.

April 14, 2026

by TIANA LO

· 2,756 Views

The Latest Data Engineering Topics