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The Latest Data Engineering Topics

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Before the AI Coding Agent Writes Code: Structuring Scattered Requirements With PARA
AI coding agents often fail when the required context is scattered. It is about preparing better context before the agent writes code.
June 29, 2026
by Venkata Naga Satya Sai Vineeth Kondisetty
· 1,130 Views
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The New Insider Threat Isn't Human: Securing AI Agents Before They Secure Themselves
AI agents are becoming powerful insiders. Learn how identity, MCP security, least privilege, and policy enforcement reduce emerging risks.
June 26, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,104 Views · 1 Like
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Wayland Compositor Debugging in C++: Hunting Null Pointer Crashes in the Display Stack
Debugging a wlroots Wayland compositor crash on ARM Linux: tracing a suspend/resume null pointer bug with gdb, ASan, and lifecycle analysis.
June 26, 2026
by Rajasekhar sunkara
· 1,114 Views
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Selective Deployment in Azure Data Factory: A Practical Blueprint for Safer CI/CD
Implement selective deployment in Azure Data Factory to safely promote individual features without deploying the entire factory state
June 26, 2026
by Sauhard Bhatt
· 2,122 Views · 2 Likes
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Data Pipeline Observability: Why Your AI Model Fails in Production
Your machine learning model had 95% accuracy in testing, but crashes in production. The problem isn't the model, it's your data pipeline.
June 26, 2026
by Abhilash Rao Mesala
· 1,663 Views · 1 Like
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Building High‑Precision Vector Search for Document Retrieval on Databricks
Databricks Vector Search uses embeddings, hybrid search, and re‑ranking to deliver fast, accurate semantic retrieval at scale.
June 26, 2026
by Ramesh Bellamkonda
· 2,113 Views
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Two Clocks Are Running Out at Once, and Almost Nobody Is Watching Both
Quantum computing and AI coding tools are changing security. Learn why crypto-agility and better governance are now critical.
June 26, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,171 Views · 2 Likes
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What Cloud Engineers Actually Need to Know About AI Infrastructure
AI infrastructure isn’t about GPUs. Most issues come from storage, networking, data pipelines. If GPU utilization is low, check the infrastructure first, not the model.
June 26, 2026
by Naveen Kalapala
· 1,555 Views · 1 Like
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Beyond Software Hope: The Engineering Blueprint for AI Execution Truth
This engineering blueprint details how to replace "software hope" with deterministic, hardware-level enforcement via TEEs and the Citadel protocol.
June 25, 2026
by Theo Ezell
· 1,373 Views · 1 Like
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Code and Connect: MCP + MuleSoft
Understand MCP, AI agents, and assistants, and learn how Model Context Protocol connects AI applications to tools using MuleSoft.
June 25, 2026
by Ajay Singh
· 1,839 Views
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REST-Assured Configuration and Specifications: Writing Maintainable API Tests
Learn how to use REST-Assured Configuration, Request Specifications, and Response Specifications to build maintainable API tests.
June 25, 2026
by Faisal Khatri DZone Core CORE
· 1,685 Views
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The AI Definition of Done
The AI Definition of Done: human-in-the-loop is not a quality standard; you need a different approach for agent harnesses or operational excellence.
June 25, 2026
by Stefan Wolpers DZone Core CORE
· 1,705 Views · 1 Like
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AI, OAuth, and Other Platform APIs in the Core
Deeper AI integration in the framework core, modern authentication via OAuth / OIDC and WebAuthn passkeys driven from the system browser, and a few smaller additions.
June 24, 2026
by Shai Almog DZone Core CORE
· 1,935 Views · 1 Like
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5 Warning Signs Your Data Architecture Needs a Redesign (Before It Falls Apart)
Five signs your data architecture needs redesign. Fix with semantic layer, active metadata, embedded governance, AI security, maintainable design.
June 24, 2026
by Rajanikantarao Vellaturi
· 1,491 Views · 1 Like
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AI Broke Your Definition of Done
When a machine writes most of the code, "the code shipped" stops being a finish line. The work that's left is the work your definition of done was already skipping.
June 24, 2026
by Matt Watson
· 1,098 Views · 2 Likes
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Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot
Kafka decouples services, buffers spikes, and routes failures to a DLT. Schemas are contracts; consumers must be idempotent.
June 24, 2026
by Mallikharjuna Manepalli
· 3,166 Views · 1 Like
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Who Owns the Data Stack?: How AI Is Reshaping Ownership, Architecture, and Accountability Across Teams
Build AI-native data systems with clear ownership, semantic contracts, and governance. Learn how accountability, retrieval, and data quality shape AI behavior.
June 24, 2026
by Miguel Garcia DZone Core CORE
· 1,388 Views · 2 Likes
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Phantom APIs Are Eating Your Attack Surface, and Most Security Teams Are Still Looking the Other Way
Undocumented phantom APIs are creating hidden security risks. Learn how AI-generated endpoints evade reviews and expand attack surfaces.
June 23, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,101 Views
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Delta Sharing in Action: Securely Share Data Across Organizations With Databricks
From dusty SFTP drops to live, governed datasets — how Delta Sharing enables secure, real-time data access without moving or duplicating data.
June 23, 2026
by Seshendranath Balla Venkata
· 1,734 Views · 2 Likes
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Connect Existing Data to AI Retrieval: How to Build Production-Ready Search Without Rebuilding Core Systems
Step-by-step tutorial building AI retrieval over existing data systems using a thin layer, covering workflow design, indexing, evaluation, and RAG pipeline.
June 23, 2026
by Jubin Soni, FBCS DZone Core CORE
· 2,249 Views · 1 Like
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