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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 24, 2020 · Industry Insights

What Is China’s “New Infrastructure” and How Does It Differ From Traditional Projects?

The article explains China’s “new infrastructure” concept—originating from the 2018 Central Economic Work Conference, covering seven technology‑driven sectors such as 5G, AI and data centers—while contrasting it with traditional “iron‑public‑foundation” projects and highlighting its role as a growth engine for high‑quality economic transformation.

5GArtificial IntelligenceChina Economy
0 likes · 3 min read
What Is China’s “New Infrastructure” and How Does It Differ From Traditional Projects?
Big Data and Microservices
Big Data and Microservices
Sep 20, 2018 · Backend Development

Why Distributed Transactions Matter: Concepts, Scenarios, and Solutions

This article explains the fundamentals of distributed transactions, why they arise in modern micro‑service architectures, outlines the ACID properties, presents typical use cases such as payments and order processing, and compares common implementation approaches like 2PC, message‑based eventual consistency, and TCC.

2PCMessage QueueTCC
0 likes · 12 min read
Why Distributed Transactions Matter: Concepts, Scenarios, and Solutions
Big Data and Microservices
Big Data and Microservices
Sep 17, 2018 · Big Data

5 Essential Data Mining Techniques Every Analyst Should Know

This article outlines five widely used data‑mining methods—association rules, classification/tagging, clustering, decision trees, and sequential pattern mining—explaining their principles, real‑world examples, and how they help organizations extract actionable insights from massive datasets.

Decision TreesSequential Pattern Miningassociation rules
0 likes · 6 min read
5 Essential Data Mining Techniques Every Analyst Should Know
Big Data and Microservices
Big Data and Microservices
Sep 10, 2018 · Backend Development

Understanding RPC: Architecture, Workflow, and Core Technologies

This article explains the fundamentals of Remote Procedure Call (RPC), covering its definition, architectural components, communication protocols, serialization process, complete call workflow, and the main technologies and frameworks used in modern backend systems.

RPCService Architecturebackend development
0 likes · 9 min read
Understanding RPC: Architecture, Workflow, and Core Technologies
Big Data and Microservices
Big Data and Microservices
Sep 4, 2018 · Big Data

Exploring Five Big Data Architectures—from Traditional to Unified AI Designs

The article examines the evolution of big‑data processing by comparing five prevalent architectures—traditional Hadoop‑based stacks, streaming‑only designs, Kappa, Lambda, and the unified Unifield model—highlighting their strengths, weaknesses, and suitable scenarios while discussing the limitations of classic BI systems and the role of distributed storage, computation, and machine‑learning integration.

HadoopKappaLambda
0 likes · 14 min read
Exploring Five Big Data Architectures—from Traditional to Unified AI Designs
Big Data and Microservices
Big Data and Microservices
Sep 3, 2018 · Big Data

From Raw Data to Business Impact: A Complete Data Analyst Skill Guide

The article outlines a comprehensive data‑analyst competency framework, covering data collection, storage, extraction, mining, analysis, visualization, and practical application, and provides concrete questions, techniques, and tool recommendations to help analysts turn raw data into actionable business insights.

Data AnalysisData Visualizationbusiness intelligence
0 likes · 9 min read
From Raw Data to Business Impact: A Complete Data Analyst Skill Guide
Big Data and Microservices
Big Data and Microservices
Sep 2, 2018 · Industry Insights

How Big Data and AI Are Transforming Financial Services: 5 Key Applications

The article explores how big data and artificial intelligence are reshaping finance through automated risk management, advanced customer data handling, personalized services, predictive analytics, and real‑time analysis, highlighting practical methods, benefits, and future trends for financial institutions.

Artificial IntelligenceReal-time analyticsfinance
0 likes · 9 min read
How Big Data and AI Are Transforming Financial Services: 5 Key Applications
Big Data and Microservices
Big Data and Microservices
Aug 28, 2018 · Big Data

Turning Idle Hadoop Clusters into Valuable Data-Driven Products and Processes

The article examines how enterprises can transform big data from idle Hadoop clusters into valuable assets by adopting data-driven processes and products, outlining the distinction between technology-driven and business-driven approaches, describing data and service product models, and highlighting process optimization across various business functions.

Enterprise Analyticsbig datadata-driven processes
0 likes · 7 min read
Turning Idle Hadoop Clusters into Valuable Data-Driven Products and Processes
Big Data and Microservices
Big Data and Microservices
Aug 27, 2018 · Industry Insights

What Makes Large‑Scale Websites Tick? Architecture Principles and Best Practices

This article outlines the key characteristics of large‑scale websites and presents a comprehensive set of architectural goals, patterns, and techniques—including performance tuning, high availability, scalability, extensibility, security, and agile operations—to guide the design of robust, user‑centric online platforms.

ArchitecturePerformanceagile
0 likes · 10 min read
What Makes Large‑Scale Websites Tick? Architecture Principles and Best Practices