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The Latest Data Engineering Topics

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Preventing Prompt Injection by Design: A Structural Approach in Java
AI Query Layer lets you run safe, schema-validated AI queries with LLMs, managing inputs and outputs efficiently for finance, analytics, and apps.
April 24, 2026
by suman Baatth
· 3,758 Views · 4 Likes
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88% of Executives Plan to Increase AI Budgets by 2026 - Are We Investing With Intent or Just Urgency?
AI budgets are rising fast, but most organizations lack maturity. Without strong security, governance, and MLOps, AI risks becoming an expensive experiment.
April 24, 2026
by Jaswinder Kumar
· 2,329 Views · 1 Like
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Understanding the Shifting Protocols That Secure AI Agents
AI protocols are being adopted faster than security teams can assess them. Learn agentic protocol basics, their maturity levels, and when to implement them.
April 24, 2026
by Meir Wahnon
· 2,572 Views · 2 Likes
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Frontier Agents: The Next Evolution of AI Applications
Learn how autonomous AI agents are evolving from reactive execution to self-aware, multi-agent systems with real-time evaluation and adaptive learning.
April 24, 2026
by Shivani Gupta
· 2,315 Views · 1 Like
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The $50,000 Vector Database You Don't Need
The AI hype cycle has everyone convinced they need a specialized vector database like Pinecone, Weaviate take your pick, to build anything serious with RAG.
April 24, 2026
by Abhilash Rao Mesala
· 2,062 Views
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AWS vs GCP Security: Best Practices for Protecting Infrastructure, Data, and Networks
A practical guide to securing AWS and GCP using IAM, encryption, network controls, and continuous monitoring to help improve resilience on the cloud.
April 24, 2026
by Kadir Arslan
· 2,566 Views
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The Hidden Risk of SaaS-Based AI: You’re Training Models You Don’t Control
SaaS-based AI centralizes learning outside your organization. Each API call may improve shared models, shifting control and competitive leverage away from the data owner.
April 24, 2026
by Pradeep Dahiya
· 2,179 Views
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8 RAG Patterns You Should Stop Ignoring
Learn about 8 RAG architectures for AI systems, from naive to agentic and hybrid, and how each improves accuracy, retrieval, and real-world performance.
April 24, 2026
by Damil Shahzad
· 3,923 Views · 1 Like
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Why AI-Assisted Development Is Raising the Value of E2E Testing
AI-assisted coding increases change velocity and regression risk. That makes stronger E2E coverage for critical flows more important.
April 23, 2026
by Satyam Nikhra
· 2,491 Views · 2 Likes
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Advanced Middleware Architecture For Secure, Auditable, and Reliable Data Exchange Across Systems
A secure, high-performance middleware using JWT, async messaging, and cryptographic auditing enables reliable, scalable, and fully traceable data exchange across systems.
April 23, 2026
by Abhijit Roy
· 2,586 Views
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Gemini + Veo: A Deep Dive into Google’s High-Fidelity Video Generation Pipeline
A deep dive into Google's video generation stack, combining Gemini's reasoning with Veo's cinematic 1080p video production pipeline.
April 23, 2026
by Jubin Abhishek Soni DZone Core CORE
· 2,287 Views
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Coding Agents Need a Feedback Loop; Cloud-Native Systems Make That Hard
The utility of coding agents compounds with the quality of their feedback loop. In cloud-native systems, closing that loop involves solving two problems.
April 23, 2026
by Arjun Iyer
· 2,405 Views
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The LLM Selection War Story: Part 1 - Why Your Model Selection Process is Fundamentally Broken
Benchmark scores predicted our LLM would succeed. It failed spectacularly. Here's why 92% vs 89% means nothing and what metrics actually matter in production.
April 23, 2026
by Dinesh Elumalai DZone Core CORE
· 2,790 Views
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The Bandwidth Tax Nobody Warned You About
Bandwidth — not compute — drives cloud costs. Optimize data movement, compression, and locality, or risk massive bills from hidden data transfer inefficiencies.
April 23, 2026
by David Iyanu Jonathan
· 1,850 Views
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Agent Skills Explained for Developers
Agent skills are the hottest trend now, and this article explains what they are, why they matter, and how to build one with a detailed guide.
April 23, 2026
by Pavan Belagatti DZone Core CORE
· 2,401 Views · 1 Like
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When AI Agents Get It Wrong: The Accountability Crisis in Multi-Agent Systems
Multi-agent AI systems need built-in accountability. With the right logging and observability setup, when agents fail, you can see what happened and why.
April 23, 2026
by Michael Bogan DZone Core CORE
· 1,809 Views
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Boosting React.js Development Productivity With Google Code Assist
Google Code Assist boosts React.js productivity by generating context-aware code inside VS Code, helping developers move faster without sacrificing code quality.
April 23, 2026
by Rajgopal Devabhaktuni
· 1,941 Views
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Revolutionizing Scaled Agile Frameworks with AI, MuleSoft, and AWS: An Insider’s Perspective
AI + MuleSoft + AWS enhance SAFe with automated insights, better integration, and smarter DevOps—guided by human judgment.
April 22, 2026
by Abhijit Roy
· 2,571 Views
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Reconciling Privacy Preferences Across Two Datastores With Snowflake and Airflow
This article explains how to turn privacy preference mismatches into a real compliance control using clear matching rules, safe fixes, and full auditability.
April 22, 2026
by Meihui Chen
· 2,093 Views
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Stop Adding Indexes: What's Actually Slowing Your SQL Server Queries When SSIS Loads Data
The default response to a slow query is "add an index." Sometimes that's correct. More often, the index isn't the problem.
April 22, 2026
by Abhilash Rao Mesala
· 2,262 Views
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