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The Latest Data Engineering Topics

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MERGE and Liquid Clustering: Common Performance Issues
A practical look at common pitfalls and performance challenges when using MERGE operations on liquid-clustered Delta tables, and how to avoid them.
January 21, 2026
by Avi Yehuda
· 1,637 Views
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Multimodal AI Architecture: Unifying Vision, Text, and Sensor Intelligence
Most Android AI features stay single-modal; this architecture fuses vision, text, and sensor inputs to deliver smarter, context-aware, privacy-conscious experiences.
January 21, 2026
by Mohan Sankaran
· 1,568 Views · 5 Likes
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AI-Driven Autonomous CI/CD for Risk-Aware DevOps
AI-driven autonomous CI/CD pipelines enable risk-aware DevOps by predicting failures, reducing downtime, improving reliability, and lowering cognitive load for SREs.
January 21, 2026
by Oreoluwa Omoike
· 1,218 Views
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Automating Traceability with Generative AI
Here is an architectural pattern to automate traceability checks by combining batch configuration extraction with Generative AI validation.
January 20, 2026
by Dippu Kumar Singh
· 1,919 Views
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Enterprise LLM Architecture Patterns, From RAG to Agentic Systems
A practical guide to 11 proven LLM architecture patterns, with real-world examples for building scalable, trustworthy, production-ready AI systems.
January 20, 2026
by Ram Ghadiyaram DZone Core CORE
· 5,614 Views · 6 Likes
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Why High Performance Storage is Important for AI Cloud Build
Learn the technology and architecture behind building AI Cloud and why high performance storage is important. Explore the latest benchmarks and understand the market.
January 20, 2026
by Anjul Sahu
· 1,820 Views
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Caching Issues With the Spring Expression Language
Spring Expression Language is a flexible way to evaluate expressions at runtime. However, in the context of caching, this flexibility can lead to errors.
January 20, 2026
by Constantin Kwiatkowski
· 2,181 Views
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“Just Don’t Put PII in the Prompt” Is a Trap: A Two-Plane Architecture for Safe LLM Apps
Separate Data Plane (sensitive data/actions) from Prompt Plane (sanitized context). Use IDs + summaries so secrets never enter prompts.
January 20, 2026
by Mohan Sankaran
· 1,135 Views · 5 Likes
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Build AI Tools in Go With MCP SDK: Connect AI Apps to Databases
This article provides a hands‑on walkthrough for building MCP servers that integrate AI applications with Azure Cosmos DB.
January 20, 2026
by Abhishek Gupta DZone Core CORE
· 1,629 Views · 1 Like
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Top 5 Payment Gateway APIs for Indian SaaS: A Developer’s Analysis
Compare 5 international payment APIs for Indian SaaS. Choose APIs that enable automated FIRC retrieval — and test the sandbox.
January 19, 2026
by Sarang S Babu
· 5,257 Views
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Coding Exercise: Database Migration Tool in NodeJS
A practical example of a database schema migration tool written in pure NodeJS. We determine the requirements, design, and implement all components, including tests.
January 19, 2026
by Eduard Dykman
· 2,103 Views · 3 Likes
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DeepSeek’s mHC: Manifold-Constrained Hyper-Connections, Explained for Practical Use
An overview of how DeepSeek’s manifold-constrained hyper-connections (mHC) stabilizes multi-stream residual networks while improving performance at scale.
January 19, 2026
by Praveen Kumar Myakala
· 1,479 Views · 2 Likes
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Copilot, Code, and CI/CD: Securing AI-Generated Code in DevOps Pipelines
AI coding tools boost speed but weakens security and developer judgment. Here’s how hidden vulnerabilities escape review and what must change before a breach hits.
January 19, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 1,592 Views
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RAG at Scale: The Data Engineering Challenges
The data engineering challenges that go beyond the basic concept of RAG when running RAG systems at scale in production.
January 16, 2026
by Guru Hegde
· 2,508 Views · 1 Like
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Speeding Up BigQuery Reads in Apache Beam/Dataflow
Export BigQuery query results to GCS and read them in parallel with Beam; it’s dramatically faster and cheaper than reading directly from BigQuery.
January 16, 2026
by Rohit Muthyala
· 1,611 Views · 2 Likes
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From RAG to RAG + RAV: A Practical Pipeline for Factual LLM Responses
RAG reduces hallucinations, RAV verifies each claim, and together they yield far more trustworthy LLM answers with optional corrections for accuracy.
January 16, 2026
by Sai Teja Erukude
· 3,724 Views · 3 Likes
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From Chatbot to Agent: Implementing the ReAct Pattern in Python
This article provides a raw Python implementation, moving beyond high-level frameworks to show exactly how the agentic loop works under the hood.
January 16, 2026
by Nikita Kothari
· 2,639 Views · 2 Likes
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Parallel S3 Writes for Massive Sparse DataFrames: How to Maintain Row Order Without Blowing Memory
Learn how to write massive sparse Pandas DataFrames to S3 without OOM errors by using Spark to parallelize index-based chunks while preserving row order.
January 16, 2026
by pooja chhabra
· 1,518 Views · 2 Likes
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Integrating CUDA-Q with Amazon Bedrock AgentCore: A Technical Deep Dive
This integration lets AI agents use GPU-accelerated quantum simulations as tools in their workflows. Learn more in this deep dive.
January 16, 2026
by Rakesh Kumar Pal
· 1,553 Views · 1 Like
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RAG on Android Done Right: Local Vector Cache Plus Cloud Retrieval Architecture
Most mobile RAG fails on latency and flaky networks. A local vector cache + cloud retrieval architecture keeps responses fast, fresh, and grounded.
January 16, 2026
by Mohan Sankaran
· 1,509 Views · 5 Likes
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