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StarRing Big Data Open Lab
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StarRing Big Data Open Lab

Focused on big data technology research, exploring the Big Data era | [email protected]

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Recent Articles

Latest from StarRing Big Data Open Lab

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StarRing Big Data Open Lab
StarRing Big Data Open Lab
Apr 14, 2023 · Information Security

How to Build a Secure Enterprise Data Platform: End‑to‑End Architecture and Controls

This article explains the security risks of enterprise data platforms, analyzes gaps in traditional protection methods, and presents a comprehensive three‑layer security architecture—asset, capability, and control layers—along with pre‑, during‑, and post‑process measures to ensure data safety throughout its lifecycle.

Enterprise Data PlatformSecurity architecturedata governance
0 likes · 19 min read
How to Build a Secure Enterprise Data Platform: End‑to‑End Architecture and Controls
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Apr 7, 2023 · Cloud Native

How Cloud‑Native Scheduling Redesign Boosts Scalability and Efficiency

This article explains the concept of cloud‑native computing, its reliance on IaaS/PaaS/SaaS, the challenges of stateful services, and proposes a redesigned scheduling system—including storage‑aware, topology‑aware, label‑driven, and priority‑based mechanisms—to improve resource utilization, scalability, and multi‑tenant performance.

Multi‑Tenantschedulingstorage-aware scheduling
0 likes · 20 min read
How Cloud‑Native Scheduling Redesign Boosts Scalability and Efficiency
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Mar 17, 2023 · Big Data

How Data Federation Transforms Enterprise Data Integration and Analytics

This article explains the concept of data federation, its advantages over traditional ETL, key architectural components, practical use cases such as virtual ODS, data staging, warehouse extension, heterogeneous migration, and compares Presto and Trino as distributed query engines for unified, secure, and low‑cost data access.

Distributed QueryETL alternativePresto
0 likes · 21 min read
How Data Federation Transforms Enterprise Data Integration and Analytics
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Mar 15, 2023 · Databases

Why Distributed Analytical Databases Are the Future: Inside ArgoDB’s Architecture

This article explains the architecture and key components of distributed analytical databases, contrasting them with MPP systems, and details the design of StarRing’s ArgoDB—including its storage, compute, transaction, and SQL engines—highlighting scalability, elasticity, and resource management for modern data warehousing.

Analytical DatabaseArgoDBSQL
0 likes · 16 min read
Why Distributed Analytical Databases Are the Future: Inside ArgoDB’s Architecture
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Feb 24, 2023 · Big Data

What Makes MPP Databases the Powerhouse Behind Modern Data Analytics?

MPP (Massive Parallel Processing) databases, designed for large‑scale analytical workloads, use distributed, shared‑nothing architectures with multiple control and compute nodes, offering high scalability, diverse data‑sharding strategies, and powerful SQL compatibility, as illustrated by vendors like Teradata, Vertica, Greenplum, and emerging open‑source solutions.

Distributed ComputingGreenplumMPP
0 likes · 15 min read
What Makes MPP Databases the Powerhouse Behind Modern Data Analytics?
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Feb 17, 2023 · Big Data

Inside Xinghuan Tech’s Next‑Gen Big Data 3.0 Architecture: Unified, Cloud‑Native, Real‑Time

This article details Xinghuan Technology’s evolution from 2013 to the present, describing its self‑developed Big Data 3.0 stack—including a unified data platform, SQL‑centric development, cloud‑native resource scheduling, distributed storage managed by Raft, DAG‑based compute engines, and real‑time stream processing—while highlighting key milestones and design principles that differentiate it from traditional Hadoop‑based solutions.

SQL Optimizerdata platformreal-time processing
0 likes · 19 min read
Inside Xinghuan Tech’s Next‑Gen Big Data 3.0 Architecture: Unified, Cloud‑Native, Real‑Time