Data Engineering Resources

Inside What Actually Breaks in Large-Scale S/4HANA Conversions (And How to Prevent It)

Custom ABAP breaks silently in S/4HANA familiar tables like BKPF/BSEG and MKPF/MSEG are gone and your code won't know until it returns nothing.

April 30, 2026

by Deepika Paturu

· 1,774 Views

End-to-End Event Streaming With Kafka, Spring Boot and AWS SQS/SNS (Production-Ready Code Guide)

Kafka streams it, SNS fans it out, and SQS decouples it — three platforms, one resilient event pipeline wired together with Spring Boot.

April 30, 2026

by Mallikharjuna Manepalli

· 2,675 Views · 3 Likes

AI Agents for DevOps on Kubernetes Need Real Engineering, Not Magic

Kubernetes incident triage: OpenTelemetry → Kafka → CrewAI → RBAC scale. DORA 2024: 75% AI use, 39% low trust. AI correlates, humans approve changes.

April 30, 2026

by Abdul Majid Qureshi

· 2,449 Views

5 Ways Azure AI Search Enhances Enterprise RAG Architectures

Azure AI Search enhances RAG through hybrid search, semantic reranking, and enterprise-grade security for scalable production AI apps.

April 30, 2026

by Jubin Soni, FBCS

CORE

· 3,564 Views

The LLM Selection War Story: Part 4 - Your Production Failure Testing Suite

Which LLM is safe for production? This testing suite measures real failure rates across medical, financial, and code review applications. Complete code included.

April 29, 2026

by Dinesh Elumalai

CORE

· 2,334 Views

Beyond Big Data: Designing Agentic Data Pipelines for AI Workloads

Learn how agentic data pipelines go beyond big data to power modern AI workloads with autonomous decision-making, real-time adaptability, and intelligent data.

April 29, 2026

by Liza Kosh

· 3,033 Views

The Dual Write Problem: What Looks Safe in Code but Breaks in Production

The dual write problem is one of the most common consistency issues in distributed systems. There are four patterns to resolve this.

April 29, 2026

by Vineet Bhatkoti

· 2,147 Views · 1 Like

Exploring Databricks Genie: Conversational Analytics with Unity Catalog

We explore how users can now ask questions to understands business insights than writing queries and analyzing the business patterns.

April 29, 2026

by Junaith Haja

· 1,879 Views

Modernizing Cloud Data Automation for Faster Insights

Transform cloud data operations with automated ingestion, scalable ELT processing, and Zero-ETL simplicity for rapid insights.

April 29, 2026

by Sandeep Batchu

· 2,235 Views

What AWS Kiro Matters for Agentic Development

AWS Kiro is a high-speed communication fabric for AI agents, enabling sub-millisecond coordination and persistent memory management.

April 29, 2026

by Jubin Soni, FBCS

CORE

· 2,390 Views

Designing Intelligent AI Systems for Tax Anomaly Detection

A real intelligent AI system automatically detects anomalies, irregularities, and potential fraud by leveraging hybrid architectures and explainable predictive models.

April 29, 2026

by Sowjanya Karri

· 2,181 Views · 1 Like

Implementing Effective Document Fraud Detection in C#

This article discusses some of the challenges of (and solutions for) adding fraud detection logic to automated document processing pipelines.

April 29, 2026

by Brian O'Neill

CORE

· 2,615 Views

The Technical Evolution of Video Production: AI Automation vs. Traditional Workflows

Video editing is now a collaboration between humans and AI. This collaboration lets creators scale production faster and cheaper without losing the soul of their work.

April 29, 2026

by Faith Adeyinka

· 2,678 Views · 1 Like

Why Human-in-the-Loop Still Matters in AI-Assisted Coding

AI-assisted coding speeds up development, but human oversight is still needed to ensure the code is correct, safe, and maintainable.

April 29, 2026

by Satyam Nikhra

· 1,723 Views

The Bill You Didn't See Coming

Egress — not compute — drives surprise cloud costs. Fix it by designing for data locality, using compression/caching wisely, and actively monitoring data flows.

April 28, 2026

by David Iyanu Jonathan

· 3,249 Views · 1 Like

The LLM Selection War Story: Part 3 - Decision Framework Through Failure Tolerance

Stop choosing LLMs by accuracy benchmarks. Three production case studies reveal why selecting models were based on their failure patterns.

April 28, 2026

by Dinesh Elumalai

CORE

· 2,579 Views · 2 Likes

65% of Enterprises Will Deploy Agentic AI by 2027: A Deep Technical Analysis of Readiness

Agentic AI is the next frontier for enterprises. This guide covers technical architectures, multi-agent design, and deployment readiness.

April 28, 2026

by Jubin Soni, FBCS

CORE

· 3,104 Views

Open-Source LLM Tools Worth Your Time

Building with LLMs in 2026 means more than picking a model and calling an API. This article covers the full open-source stack by defining tools and their usage.

April 28, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 4,099 Views · 2 Likes

Designing a Secure API From Day One

A startup builds API security from day one using identity, mTLS, validation, and automation — embedding defenses into architecture instead of reacting after failures.

April 28, 2026

by Igboanugo David Ugochukwu

CORE

· 2,097 Views

Implementing Security-First CI/CD: A Hands-On Guide to DevSecOps Automation

This guide shows how to build a secure CI/CD pipeline with early scanning, policy-as-code, SBOMs, zero trust, and safe AI-driven remediation in DevSecOps.

April 28, 2026

by Boris Zaikin

CORE

· 2,748 Views

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