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Exploring Data Models: From Hierarchical to Graph and Schema-on-Read/Write

This article examines the evolution of data models—from conceptual, logical, and physical layers to hierarchical, network, relational, document, and graph structures—explaining their characteristics, implementation examples, and the contrasting schema‑on‑read versus schema‑on‑write approaches for modern data storage systems.

data modelingdatabasesgraph database
0 likes · 10 min read
Exploring Data Models: From Hierarchical to Graph and Schema-on-Read/Write
DataFunTalk
DataFunTalk
May 19, 2023 · Big Data

Log Analysis and Schema‑On‑Read: Design and Implementation of the Honghu Real‑Time Heterogeneous Data Platform

This article examines the challenges and value of log analysis, introduces the concepts of schema‑on‑read versus schema‑on‑write, and details how the Honghu platform implements real‑time, one‑stop heterogeneous data analytics with flexible storage, indexing, and SQL‑based query engines.

Real-time analyticslog analysisschema-on-read
0 likes · 24 min read
Log Analysis and Schema‑On‑Read: Design and Implementation of the Honghu Real‑Time Heterogeneous Data Platform
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 16, 2023 · Big Data

How SLS’s Schema‑on‑Read Scanning Boosts Log Analytics Flexibility and Cuts Costs

This article explains the motivation, design, and implementation of Alibaba Cloud's SLS Schema‑on‑Read scanning mode, showing how it enables SQL analysis on raw log data without pre‑built indexes, improves flexibility for evolving schemas, and reduces storage and index costs in various log‑analysis scenarios.

Big DataColumnar StorageCost Optimization
0 likes · 27 min read
How SLS’s Schema‑on‑Read Scanning Boosts Log Analytics Flexibility and Cuts Costs