Data Engineering Resources

Schema Evolution in Delta Lake: Designing Pipelines That Never Break

Delta Lake prevents pipeline failures from schema drift using schema enforcement and schema evolution, allowing Spark pipelines to adapt safely to new columns.

April 10, 2026

by Seshendranath Balla Venkata

· 2,977 Views · 1 Like

Applying Oracle 19c Release Update (RU): A Practical Guide from My DBA Experience

Learn how to upgrade an Oracle 19c standalone database from 19.3 to 19.20 with a step-by-step guide covering preparation, patching, and validation.

April 9, 2026

by arvind toorpu

CORE

· 3,871 Views

How Agentic AI Platforms Organize Their Hardware Infrastructure

Discover how on-prem GPU clusters power secure, low-latency agentic AI pipelines with predictable costs and full data control.

April 9, 2026

by Kevin Vu

· 2,955 Views

Why Image Optimization in Modern Applications Matters More Than You Think

Today, modern websites rely heavily on images. Yet improper handling of images often hurts the performance, leading to churn in user traffic.

April 9, 2026

by Satyam Nikhra

· 3,434 Views

Intent-Driven AI Frontends: AI Assistance to Enterprise Angular Architecture

An Angular application assisted by AI can convert natural language requests into data queries while maintaining complete control over execution and governance.

April 9, 2026

by Lavi Kumar

· 3,618 Views · 1 Like

Using Java for Developing Agentic AI Applications: The Enterprise-Ready Stack in 2026

Learn how to build reliable, production-ready agentic AI in Java using LangChain4j, Quarkus, MCP, and OpenTelemetry for scalable enterprise apps.

April 9, 2026

by Bhaskar Reddy Kollu

· 4,789 Views · 7 Likes

Translating OData Queries to MongoDB in Java With Jamolingo

If you want to support dynamic API queries using OData in a Java application backed by MongoDB, Jamolingo provides a lightweight and framework-agnostic solution.

April 9, 2026

by Szymon Tarnowski

CORE

· 3,051 Views · 1 Like

Why Queues Don’t Fix Scaling Problems

Queues absorb spikes but not sustained overload. Without backpressure, limits, and monitoring, backlogs grow until systems fail.

April 8, 2026

by David Iyanu Jonathan

· 3,620 Views · 2 Likes

AI‑Assisted Code Migration: Practical Techniques for Modernizing Legacy Systems

AI-assisted tools speed up legacy code migration by automating syntax updates, refactoring, and API replacements, while human review and testing ensure safe results.

April 8, 2026

by Amanda Talavera

· 2,937 Views · 1 Like

This article covers GDPR’s “right to erasure” and deleting personal data in distributed microservices via an event-driven pipeline.

April 8, 2026

by Amit Sonar

· 4,398 Views

Unlocking the Potential: Integrating AI-Driven Insights with MuleSoft and AWS for Scalable Enterprise Solutions

AI-powered MuleSoft and AWS integrations improve scalability, data quality, and customer experience while dismantling silos.

April 8, 2026

by Abhijit Roy

· 2,864 Views

Migration from Lovable Cloud to Supabase

This article provides a step-by-step guide to migrating your data and users from Lovable Cloud to Supabase, breaking the process down into seven clear steps.

April 8, 2026

by Alexander Komyagin

· 6,243 Views

MCP + AWS AgentCore: Give Your AI Agent Real Tools in 60 Minutes

A hands-on walkthrough on building an AI agent with real tools using AWS Bedrock AgentCore Runtime. FastMCP and the Strands agent.

April 8, 2026

by Jubin Soni, FBCS

CORE

· 3,904 Views

Enhancing Secure MCP Client–Server Communication With the Chain of Responsibility Pattern

A clean and common, yet decoupled, flexible, and open for extension solution when interacting with multiple API key-secured MCP servers.

April 8, 2026

by Horatiu Dan

CORE

· 3,742 Views · 5 Likes

Mastering Multi-Cloud Integration: SAFe 5.0, MuleSoft, and AWS - A Personal Journey

Using SAFe 5.0, MuleSoft and AWS can form modular, AI-enabled multi-cloud systems that reduce latency and align technology with business outcomes.

April 8, 2026

by Abhijit Roy

· 2,527 Views

Beyond Accuracy: Measuring Divergence Between Actual and Predicted Distributions in Machine Learning

ML evaluation goes beyond prediction error. Measuring distribution alignment with the right divergence metric improves reliability, robustness, and trust.

April 7, 2026

by Sayan Chatterjee

· 2,759 Views

AI-Based Multi-Cloud Cost and Resource Optimization

Multi-cloud costs rise due to poor visibility, idle resources, and reactive scaling. AI-driven FinOps automates optimization to cut waste and control spend.

April 7, 2026

by Venkatesan Thirumalai

· 3,979 Views

Build a Smart AI Financial Advisor Using Google ADK

Build an intelligent agent that analyzes U.S. tax scenarios (2025 IRS brackets), optimizes 401(k)/IRA contributions, and calculates mortgage acceleration strategies.

April 7, 2026

by Swati Tyagi

· 3,724 Views

Ensuring Data Consistency in Distributed Systems With the Transactional Outbox Pattern

Ensure data consistency during dual-writes by saving outgoing events to the database alongside primary data, then using a worker to relay them to a message broker.

April 7, 2026

by Henry Yu

· 3,668 Views · 2 Likes

Building a State-Driven Workflow Engine for AI Applications

This article presents a Shell and Node pattern that decouples state, nodes, and routing into composable units, instead of traditional if/else chains.

April 7, 2026

by horus he

· 3,982 Views · 2 Likes

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