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The Latest Data Engineering Topics

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The QA Paradox: To Save Artificial Intelligence, We Must Stop Blindly Trusting Data—And Start Trusting Human Judgment
QA must evolve into AI’s ethical compass—data reveals facts, but only humans can judge fairness, context, and what should or shouldn’t be built.
July 7, 2025
by Nidhi Sharma
· 1,641 Views · 2 Likes
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Top Load Balancing Algorithms: Choosing the Right Strategy
Use static algorithms for simple apps, dynamic for real-time needs. Choose based on app behavior. Combine methods for optimal load balancing.
July 7, 2025
by Yakaiah Bommishetti
· 3,138 Views · 5 Likes
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Deploy Serverless Lambdas Confidently Using Canary
Improve AWS Lambda reliability with canary deployments, gradually release updates, minimize risk, catch bugs early, and deploy faster with confidence.
July 7, 2025
by Prajwal Nayak
· 2,388 Views · 3 Likes
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Stop Building Monolithic AI Brains, Build a Specialist Team Instead
I created a team of specialist agents to handle different parts of a complex task. It's basically microservices for AI, making our app smarter, easier to update and more.
July 7, 2025
by Christina Lin DZone Core CORE
· 3,798 Views · 9 Likes
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Orchestrating Edge Computing with Kubernetes: Architectures, Challenges, and Emerging Solutions
Learn about orchestrating edge computing with Kubernetes, its architectural frameworks, operational challenges, and state-of-the-art solutions.
July 7, 2025
by Venkatesan Thirumalai
· 3,324 Views · 4 Likes
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WebAssembly (Wasm) and AI at the Edge: The New Frontier for Real-Time Applications
Revolutionizing real-time application development by combining high-performance, secure, and platform-independent computing with local AI-driven decision-making
July 4, 2025
by Sairamakrishna BuchiReddy Karri
· 2,112 Views · 1 Like
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Are Traditional Data Warehouses Being Devoured by Agentic AI?
DSS systems are designed around the logic of human decision-making as the ultimate consumer. However, in Agentic AI era, the final "consumer" is likelier to be an agent.
July 4, 2025
by William Guo
· 2,102 Views · 4 Likes
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The Shift to Open Industrial IoT Architectures With Data Streaming
Modernize OT with Data Streaming, Kafka, MQTT, and OPC-UA to replace legacy middleware, enabling real-time data + scalable cloud integration.
July 4, 2025
by Kai Wähner DZone Core CORE
· 2,861 Views · 1 Like
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Leveraging AI: A Path to Senior Engineering Positions
Most software engineers aren't fully utilizing AI tools beyond basic text writing. AI agents can significantly aid engineers in coding and career growth path.
July 4, 2025
by Rohit Garg
· 2,961 Views · 5 Likes
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How Predictive Analytics Became a Key Enabler for the Future of QA
Predictive analytics turns QA into a proactive process, using data and ML to spot defects early, speed up releases, and reduce bugs by up to 30%.
July 4, 2025
by Nidhi Sharma
· 1,610 Views · 4 Likes
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The Evolution of Software Integration: How MCP Is Reshaping AI Development Beyond Traditional APIs
MCP adds a dynamic layer over traditional APIs, enabling AI agents to access tools, context, and real-time data for smarter, more adaptive behavior.
July 4, 2025
by Chetan Yeddula
· 4,517 Views · 8 Likes
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One Checkbox to Cloud: Migrating from Tosca DEX Agents to E2G
Moving from local test agents to the Elastic Execution Grid (E2G) is a straightforward move that replaces manual VM upkeep and with flexible cloud agents.
July 4, 2025
by John Vester DZone Core CORE
· 2,233 Views · 3 Likes
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How to Use AI to Understand Gaps in Your Resume and Job Descriptions
Inspired by personal experience, this guide shows how AI prompts, coding, and resume analysis can help close skill gaps and land better job matches.
July 3, 2025
by Bharath Kumar Varma Sagi
· 2,040 Views
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Self-Supervised Learning Techniques
Self-supervised learning (SSL) techniques like AMDIM and SimCLR enable robust tracking using unlabeled data, reducing costs, enhancing scalability, and improving accuracy
July 3, 2025
by Mostofa Shakib
· 1,692 Views
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Real-Time Market Data Processing: Designing Systems for Low Latency and High Throughput
This article explores key challenges in real-time market data processing, design strategies, and optimizations—with code snippets where applicable.
July 3, 2025
by Vishal Jain
· 3,585 Views
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The OWASP Top 10 for LLM Applications: An Overview of AI Security Risks
Learn the top 10 security risks in LLM apps, from prompt injection to data leaks, and how to build safer, more reliable Gen-AI systems.
July 3, 2025
by Goutham Bandapati
· 1,793 Views · 1 Like
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Building V1 Gen-AI Products at Scale: Technical Product Patterns That Work
Shipping Gen-AI V1 requires modular systems, grounding, evaluation, and infrastructure planning, treating it as a product, not a prototype.
July 3, 2025
by Shiva Chandrashekher
· 1,626 Views · 1 Like
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Why Traditional CI/CD Falls Short for Cloud Infrastructure
CI/CD works great for stateless apps–but infra isn’t stateless. It’s live, interconnected, and hard to roll back when things go sideways.
July 3, 2025
by Aharon Twizer
· 4,693 Views · 2 Likes
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Stabilizing ETL Pipelines With Airflow, Presto, and Metadata Contracts
Silent data drift broke our metrics, errors, just lies. We fixed it with schema contracts, validation, lineage, and loud failures. Now, trust is engineered.
July 2, 2025
by BEVERLY DSOUZA
· 2,276 Views · 2 Likes
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Parallel Data Conflict Resolution in Enterprise Workflows: Pessimistic vs. Optimistic Locking at Scale
Locking isn’t backend trivia, it’s UX, trust, and system integrity. Smart enterprises blend optimistic and pessimistic locks to scale collaboration.
July 2, 2025
by Naga Tirumala Rao Chillapalli
· 2,882 Views · 3 Likes
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