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Enterprise-level professional community for Database, BigData, and AIOps. Daily original articles, weekly online tech talks, monthly offline salons, and quarterly XCOPS&DAMS conferences—delivered by industry experts.

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Recent Articles

Latest from dbaplus Community

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dbaplus Community
dbaplus Community
Jun 23, 2026 · Big Data

How AI‑Powered Skills Cut 70% of Repetitive Data Development Work

A real‑world incident where an ADS table stopped updating triggered a three‑second root‑cause discovery and a three‑hour data‑warehouse rebuild using a Claude‑based Skill that eliminated about 70% of the manual, repetitive steps traditionally required in data development, testing, deployment, and operations.

AI automationClaudeData Quality
0 likes · 12 min read
How AI‑Powered Skills Cut 70% of Repetitive Data Development Work
dbaplus Community
dbaplus Community
Jun 21, 2026 · Databases

Why the 20‑Year‑Old N+1 Query Problem Doesn’t Apply to SQLite

The article explains that the classic N+1 query anti‑pattern, harmful on client‑server databases like MySQL, is irrelevant for SQLite because its embedded architecture eliminates network round‑trips, turning hundreds of queries into cheap function calls, and examines the performance data and trade‑offs behind this claim.

FossilN+1 QueryQuery Optimization
0 likes · 29 min read
Why the 20‑Year‑Old N+1 Query Problem Doesn’t Apply to SQLite
dbaplus Community
dbaplus Community
Jun 21, 2026 · Databases

Why Master‑Slave Replication Lags 5‑7 AM and How a Big‑Data Snapshot Fixes It

The article analyzes why the master‑slave database replication experiences 30‑minute delays each morning between 5 AM and 7 AM, traces the cause to massive inventory‑snapshot jobs, evaluates several mitigation options, and details a big‑data extraction workflow that eliminates the lag while reducing disk usage.

Database ReplicationElasticsearchHive
0 likes · 8 min read
Why Master‑Slave Replication Lags 5‑7 AM and How a Big‑Data Snapshot Fixes It
dbaplus Community
dbaplus Community
Jun 19, 2026 · Industry Insights

Why Software Engineering Has Never Been Truly Engineered – How Large AI Models May Finally Deliver Real Engineering

The article argues that software engineering has spent the past fifty years merely managing human uncertainty rather than true engineering, and that large language models now make it possible to replace low‑level cognition with energy‑driven intelligence, demanding a shift to an AI‑centered paradigm, closed‑loop automation, and a new focus on scenario‑driven knowledge distillation.

AIEngineering ProcessSoftware Engineering
0 likes · 50 min read
Why Software Engineering Has Never Been Truly Engineered – How Large AI Models May Finally Deliver Real Engineering
dbaplus Community
dbaplus Community
Jun 15, 2026 · Artificial Intelligence

Is Prompt Engineering Obsolete? A Deep Dive into Loop Engineering – Hype or Emerging Trend?

Loop Engineering replaces manual prompt engineering by orchestrating AI agents through five core modules and persistent memory, offering autonomous task discovery, execution, and verification while highlighting token costs, verification responsibilities, and design trade‑offs illustrated with Claude Code and Codex implementations.

AI AgentsClaude CodeCodex
0 likes · 16 min read
Is Prompt Engineering Obsolete? A Deep Dive into Loop Engineering – Hype or Emerging Trend?
dbaplus Community
dbaplus Community
Jun 14, 2026 · Databases

Why DBX Can Replace Navicat: A 15 MB Open‑Source Client for 40+ Databases

DBX is a lightweight 15 MB open‑source database client built with Tauri and Rust that instantly launches, supports over 40 relational, document, key‑value and analytical databases, offers AI‑driven SQL generation, ER diagramming, schema diff, dark mode, and can be installed via Homebrew, Scoop or Docker.

AI SQLDBXDatabase client
0 likes · 8 min read
Why DBX Can Replace Navicat: A 15 MB Open‑Source Client for 40+ Databases
dbaplus Community
dbaplus Community
Jun 14, 2026 · Big Data

Why Big Data Is Falling Silent: When Scale Can’t Fake Value Anymore

Although national data production reached 52.26 ZB in 2025 and keeps growing, the term “big data” is disappearing because it no longer serves as an organizational credit that hides the need for real value, responsibility, and measurable business impact, especially in the AI era.

AI ImpactData Governancebig data
0 likes · 13 min read
Why Big Data Is Falling Silent: When Scale Can’t Fake Value Anymore