This article explains how Huawei's terminal cloud adopts the Apache Iceberg table format to efficiently manage large-scale datasets, detailing its architecture, feature engineering, merge operations, LSM-based storage, schema versioning, AB testing support, catalog enhancements, and future roadmap for full lifecycle data governance.
The article outlines a developer‑focused wishlist for PostgreSQL, proposing built‑in versioned schemas, online schema changes, instant branch creation akin to Git, configurable archive tables, a flexible key‑value labeling system, and tighter Git integration, while highlighting industry examples such as Neon, Xata, Snaplet, Supabase and Bytebase.
This article analyzes the challenges of commercial real‑time data processing—such as stability, multi‑stage computation, and frequent schema changes—and explains how the RTS platform provides end‑to‑end managed solutions, auto schema handling, primary‑secondary redundancy, experiment‑first deployment, and metadata generation to unlock high‑velocity data value for advertising operations.
This article provides a comprehensive technical analysis of MySQL 8.0's atomic DDL implementation, detailing the transition from fragmented FRM-based metadata to a unified InnoDB Data Dictionary, and explaining how the DDL Log mechanism ensures crash-safe physical file operations during schema modifications.
This article details ByteDance's implementation of an exabyte‑scale data lake using Apache Hudi, covering scenario requirements, engine selection, functional support, schema management, extensive performance tuning, and future directions, while also noting recruitment opportunities within the team.
