DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

The Latest Data Engineering Topics

article thumbnail
AI-Powered DevSecOps: Automating Security with Machine Learning Tools
AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.
January 28, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,086 Views · 1 Like
article thumbnail
Zero Trust for Agents: Implementing Context Lineage in the Enterprise Data Mesh
Agent identity and its audit history will enforce zero-trust access for agents based on both identity and past behavior. This makes agent access more secure and reliable.
January 28, 2026
by Anshul Pathak
· 1,967 Views · 1 Like
article thumbnail
Building an OCR Data Pipeline: From Unstructured Images to Structured Data
How to treat OCR text as just another data source — build a repeatable ingestion, transformation, and validation workflow for unstructured data.
January 28, 2026
by Punitha Ponnuraj
· 2,918 Views · 1 Like
article thumbnail
The Serverless Ceiling: Designing Write-Heavy Backends With Aurora Limitless
Break the single-writer bottleneck by aligning AWS Lambda, RDS Proxy, and the Aurora Limitless router into a cohesive architecture.
January 28, 2026
by Nabin Debnath
· 3,851 Views · 2 Likes
article thumbnail
Claude Cowork: AI Agents’ Email Moment for Non-Coders
An overview of Claude Cowork and how it makes AI agents accessible to non-coders, with practical examples for agile practitioners.
January 28, 2026
by Stefan Wolpers DZone Core CORE
· 1,525 Views
article thumbnail
Generating Schema-Valid Synthetic ISO 20022 Messages for Privacy-Preserving Fraud Detection
Leverage a schema-aware federated approach to generate synthetic ISO 20022 payments data with strict personal information privacy and XSD compliance.
January 28, 2026
by Senthilnathan Dhanasekaran
· 1,103 Views
article thumbnail
LLM-Powered Product Development: A Python-Centric Approach
Large language models (LLMs) are at the core of transformation that is helping AI to shift from lab to real world applications.
January 28, 2026
by Manish Adawadkar
· 2,117 Views
article thumbnail
GraphQL vs REST — Which Is Better?
Which API design paradigm should you choose for your application? GraphQL or REST. This article looks at the pros and cons of each.
January 27, 2026
by Ananth Iyer
· 6,789 Views · 7 Likes
article thumbnail
Building an Internal Document Search Tool with Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is transforming enterprise AI by bridging the gap between general-purpose language models and organization-specific knowledge.
January 27, 2026
by Manish Adawadkar
· 3,006 Views
article thumbnail
Cost-Aware GenAI Architecture: Caching, Model Routing, and Token Budgets That Don’t Explode
Keep GenAI cheap and fast: cache aggressively, route models by confidence, cap tokens and tools, compress context, and monitor cost per successful outcome.
January 27, 2026
by Mohan Sankaran
· 2,917 Views · 5 Likes
article thumbnail
Designing Mathematical Software for Humans
Mathematical software should mirror how people reason, not just compute. Design APIs that express ideas clearly and make exploration intuitive.
January 27, 2026
by Dhyey Mavani
· 2,219 Views
article thumbnail
Versioning Lies: A Date Contract Is a Promise That Never Breaks
Modify URI-based API versioning to use date-based versions, easing operations, ensuring immutability, and also separating core logic from API responses.
January 27, 2026
by Akash Rasal
· 1,123 Views · 1 Like
article thumbnail
Edge-First AI Architecture: Designing Low-Latency, Offline-Capable Intelligence
Most Android AI features stall on flaky networks; an edge-first architecture runs key models on-device, with cloud used only as an optional upgrade.
January 27, 2026
by Mohan Sankaran
· 2,490 Views · 5 Likes
article thumbnail
An Introduction to the Four Pillars of Observability
The blog introduces you to the four pillars of observability, AWS and Azure cloud-native services, and ROI to help in architects and engineer's quest for system clarity.
January 27, 2026
by Akash Lomas
· 1,495 Views
article thumbnail
Building an AI Agent Traffic Management Platform: APISIX AI Gateway in Practice
A global appliance leader uses APISIX AI Gateway for unified LLM traffic control, hybrid cloud routing, and multi-tenant isolation.
January 26, 2026
by Yilia Lin
· 1,232 Views
article thumbnail
Prompt Injection Is the New SQL Injection: How Hackers Are Breaking into AI Systems
Prompt injection exploits token-level processing, making it hard for LLMs to distinguish between given instructions and user data.
January 26, 2026
by ava clark
· 2,120 Views
article thumbnail
Engineering Habits for Building Resilient Software
This article examines how integrating AI into the software development lifecycle (SDLC) is enabling teams to move from MVPs to large, resilient systems.
January 26, 2026
by Ammar Ekbote
· 1,191 Views · 1 Like
article thumbnail
The Anatomy of an AI Agent and How to Build One With Docker Cagent
AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.
January 26, 2026
by Siri Varma Vegiraju DZone Core CORE
· 2,130 Views · 1 Like
article thumbnail
How to Create AI-Enhanced Code Review Systems
AI-enhanced code review systems use embeddings and LLMs in Git hooks to catch repetitive issues, freeing human reviewers to focus on higher-level architectural decisions.
January 26, 2026
by Mohit Menghnani DZone Core CORE
· 1,879 Views · 2 Likes
article thumbnail
The A3 Framework: Assist, Automate, Avoid — A Decision System for AI Delegation
The A3 Framework helps teams decide when to Assist, Automate, or Avoid AI by categorizing work before prompting, reducing risk, and safeguarding trust.
January 26, 2026
by Stefan Wolpers DZone Core CORE
· 1,215 Views
  • Previous
  • ...
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • ...
  • Next
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook
×