BestHub
Sign in
Big Data and Microservices
Author

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.

86
Articles
0
Likes
34
Views
0
Comments
Recent Articles

Latest from Big Data and Microservices

86 recent articles
Big Data and Microservices
Big Data and Microservices
Aug 26, 2018 · Big Data

Why Data, Not Process, Is the New Core of Business: 10 Big‑Data Principles Explained

The article outlines ten core big‑data principles—shifting from process‑centric to data‑centric thinking, emphasizing data value, efficiency, relevance, full‑sample analysis, prediction, information‑finding, machine understanding, e‑commerce intelligence, and mass customization—illustrated with real‑world examples and their impact on modern industry.

big datacorrelationdata‑centric
0 likes · 26 min read
Why Data, Not Process, Is the New Core of Business: 10 Big‑Data Principles Explained
Big Data and Microservices
Big Data and Microservices
Aug 23, 2018 · Industry Insights

How to Build Effective User Profiles for Precise Marketing and Risk Control

This article explains what user profiling is, why it matters for large‑scale enterprises, and how to design a data‑driven profiling system—including data sources, business modeling, tag taxonomy, and practical applications such as targeted marketing, risk assessment, user research, personalized services, and strategic decision‑making.

data taggingmarketing analyticsrisk management
0 likes · 12 min read
How to Build Effective User Profiles for Precise Marketing and Risk Control
Big Data and Microservices
Big Data and Microservices
Aug 22, 2018 · Industry Insights

Designing Scalable Internet Platforms: Key Subsystems and Best Practices

The article outlines the architecture of large‑scale internet application platforms, detailing essential subsystems such as web front‑ends, load balancing, database clusters, caching, distributed storage, server management, and code deployment, and explains how they work together to achieve high availability, performance, and scalability.

CachingLoad Balancingdatabase clustering
0 likes · 8 min read
Designing Scalable Internet Platforms: Key Subsystems and Best Practices
Big Data and Microservices
Big Data and Microservices
Aug 16, 2018 · Big Data

Mastering Big Data Analysis: 5 Core Aspects and 4 Key Methods

This article outlines the five fundamental aspects of big data analysis—visualization, data‑mining algorithms, predictive analytics, semantic engines, and data quality management—and explains four primary analytical approaches: descriptive, diagnostic, predictive, and prescriptive analysis.

Data AnalysisVisualizationbig data
0 likes · 6 min read
Mastering Big Data Analysis: 5 Core Aspects and 4 Key Methods
Big Data and Microservices
Big Data and Microservices
Aug 15, 2018 · Operations

What Is APM? A Deep Dive into Application Performance Management and Top Open‑Source Tools

This article explains Application Performance Management (APM), its role in monitoring distributed and micro‑service systems, outlines the five‑dimensional APM model, details core monitoring functions, and reviews leading open‑source APM solutions such as PinPoint, Zipkin, SkyWalking, Prometheus, CAT and Hawkular.

APMapplication monitoringdistributed tracing
0 likes · 8 min read
What Is APM? A Deep Dive into Application Performance Management and Top Open‑Source Tools
Big Data and Microservices
Big Data and Microservices
Aug 14, 2018 · Cloud Native

Building Enterprise-Ready Spring Cloud Microservices: Core Components & Best Practices

This article reviews the essential Spring Cloud microservice stack for enterprise use, covering core gateway, service discovery, configuration, security, monitoring, tracing, and alerting components, and explains why tools like Apollo, Consul, Kafka, ELK, Pinpoint, InfluxDB, and Prometheus are preferred in production environments.

ConfigurationMicroservicesMonitoring
0 likes · 10 min read
Building Enterprise-Ready Spring Cloud Microservices: Core Components & Best Practices