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Big Data and Microservices
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Big Data and Microservices

Focused on big data architecture, AI applications, and cloud‑native microservice practices, we dissect the business logic and implementation paths behind cutting‑edge technologies. No obscure theory—only battle‑tested methodologies: from data platform construction to AI engineering deployment, and from distributed system design to enterprise digital transformation.

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Recent Articles

Latest from Big Data and Microservices

86 recent articles
Big Data and Microservices
Big Data and Microservices
Apr 16, 2026 · Artificial Intelligence

Why Perfect Prompts Crash After Days: Uncovering the Limits of Context Engineering

An AI‑driven customer‑service bot that answered perfectly for two days suddenly started hallucinating because single‑turn prompt engineering ignored the continuous, stateful nature of real‑world conversations, revealing the hidden token, memory, and retrieval challenges that demand a new context‑engineering approach.

Context EngineeringConversation StateLLM
0 likes · 14 min read
Why Perfect Prompts Crash After Days: Uncovering the Limits of Context Engineering
Big Data and Microservices
Big Data and Microservices
Apr 15, 2026 · Artificial Intelligence

Prompt vs Skill: Why Skill Engineering Is the Next Leap in AI Productivity

This article compares Prompt engineering and Skill engineering, explaining their fundamental differences, design goals, reusability, context usage, security, and best‑fit scenarios, and shows how moving from one‑off prompts to reusable Skill packages can dramatically boost AI efficiency and scalability.

AI agentsSkill Engineeringproductivity
0 likes · 11 min read
Prompt vs Skill: Why Skill Engineering Is the Next Leap in AI Productivity
Big Data and Microservices
Big Data and Microservices
Apr 12, 2026 · Artificial Intelligence

Master Structured Prompt Engineering: From Simple Commands to Powerful AI Agents

This article explains how vague AI queries lead to generic answers and shows how structured prompt engineering—using clear roles, goals, constraints, and frameworks like RTF and BROKE—can turn ambiguous business needs into precise, high‑quality AI outputs, including advanced chain‑of‑thought and few‑shot techniques for agents.

AIAgentFew-shot
0 likes · 10 min read
Master Structured Prompt Engineering: From Simple Commands to Powerful AI Agents
Big Data and Microservices
Big Data and Microservices
Apr 11, 2026 · Artificial Intelligence

How AI Agents Turn LLMs into Autonomous Executors: The ReAct Paradigm Explained

This article analyzes how AI agents extend large language models with perception‑reason‑action loops, comparing them to traditional chatbots and RPA, and demonstrates their planning, memory, tool‑use, and action capabilities through detailed examples and a step‑by‑step research workflow.

AI AgentAgent architectureAutonomous AI
0 likes · 12 min read
How AI Agents Turn LLMs into Autonomous Executors: The ReAct Paradigm Explained
Big Data and Microservices
Big Data and Microservices
Jun 28, 2020 · Big Data

Data Warehouse vs Data Lake vs Data Platform vs Data Middle Platform: Which Fits Your Business?

This article compares data warehouse, data lake, data platform, and data middle platform, explaining their definitions, architectures, strengths, limitations, and use‑case differences, and provides tables that highlight how each solution handles structured and unstructured data, governance, flexibility, and business value.

Data Middle PlatformData Warehousebig data
0 likes · 12 min read
Data Warehouse vs Data Lake vs Data Platform vs Data Middle Platform: Which Fits Your Business?
Big Data and Microservices
Big Data and Microservices
Jun 24, 2020 · Industry Insights

What Is a Data Middle Platform and How It Boosts Business Agility

The article explains what a data middle platform is, why it differs from a traditional big‑data platform, the efficiency, collaboration and talent challenges it addresses, its definition as a data‑driven innovation layer built on big data, cloud and AI, and outlines its logical architecture centered on data APIs.

Artificial IntelligenceData Middle Platformbig data
0 likes · 6 min read
What Is a Data Middle Platform and How It Boosts Business Agility
Big Data and Microservices
Big Data and Microservices
May 14, 2020 · Cloud Computing

Understanding Multi‑Tenant Architecture: Isolation Strategies and Trade‑offs

This article explains the fundamentals of multi‑tenant technology, compares three data‑isolation approaches—independent databases, shared databases with separate schemas, and fully shared schemas—highlights their advantages and drawbacks, and outlines key considerations for selecting the most suitable isolation model in SaaS environments.

ArchitectureData IsolationMulti‑Tenant
0 likes · 9 min read
Understanding Multi‑Tenant Architecture: Isolation Strategies and Trade‑offs