惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

C
CXSECURITY Database RSS Feed - CXSecurity.com
WordPress大学
WordPress大学
Microsoft Security Blog
Microsoft Security Blog
GbyAI
GbyAI
V
Visual Studio Blog
The Register - Security
The Register - Security
Y
Y Combinator Blog
I
InfoQ
小众软件
小众软件
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Scott Helme
Scott Helme
C
Cybersecurity and Infrastructure Security Agency CISA
T
Threatpost
Hacker News: Ask HN
Hacker News: Ask HN
P
Privacy International News Feed
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
A
Arctic Wolf
P
Privacy & Cybersecurity Law Blog
AWS News Blog
AWS News Blog
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Google DeepMind News
Google DeepMind News
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
有赞技术团队
有赞技术团队
酷 壳 – CoolShell
酷 壳 – CoolShell
C
Check Point Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Security Archives - TechRepublic
Security Archives - TechRepublic
Apple Machine Learning Research
Apple Machine Learning Research
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
S
Security Affairs
Cyberwarzone
Cyberwarzone
V
Vulnerabilities – Threatpost
C
Cyber Attacks, Cyber Crime and Cyber Security
H
Hackread – Cybersecurity News, Data Breaches, AI and More
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
爱范儿
爱范儿
Spread Privacy
Spread Privacy
Recent Commits to openclaw:main
Recent Commits to openclaw:main
阮一峰的网络日志
阮一峰的网络日志
The GitHub Blog
The GitHub Blog
C
CERT Recently Published Vulnerability Notes
IT之家
IT之家
月光博客
月光博客
雷峰网
雷峰网
博客园 - 【当耐特】
Stack Overflow Blog
Stack Overflow Blog
美团技术团队
NISL@THU
NISL@THU
U
Unit 42
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报

ByteByteGo Newsletter

A Beginner’s Guide to Clocks, Causality, and Ordering in Distributed Systems Best Practices for Building AI Agents That Work in Production Inside Roblox’s Bet on World Models MCP vs A2A vs ACP: How AI Agents Actually Talk to Each Other A Guide to Multi-Tenancy: Benefits and Challenges AI Customer Support at Scale: The Travel Industry’s $Billion Bet How LLMs Learn to Be Helpful (RLHF vs DPO) How Microsoft Ships AI Agents at Enterprise Scale EP221: How Docker Works Under the Hood LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Streaming vs Batch: Two Philosophies of Data Processing The Agent Loop: How AI Goes From Answering Questions to Doing Things ChatGPT vs Gemini vs Claude: How They Differ LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Proof of Human: How to Verify a Person Is Real and Unique Multi-Region Architecture: Going Global Without Going Broke How OpenAI Delivers Low-Latency Voice AI for 900M Users Inside Thinking Machines’ Interaction Models How AI Agents Manage Memory and Avoid Forgetfulness EP220: RAG vs Graph RAG vs Agentic RAG Top Anti-Patterns to Avoid in Service Architecture Large Language Models vs Small Language Models An Ex-Meta L8’s Agentic Engineering Setup AI-Native Leaders: The Organizational Playbook for Engineering Transformation at Scale EP219: 12 Open-source LLMs Observability for Beginners: Logs, Metrics, Traces, and Everything Around Them LAST CALL FOR ENROLLMENT: Build with Claude Code - Cohort 2 How Open-Weight Models Changed the AI Landscape A Guide to AI Inference Engineering EP218: The Typical AI Agent Stack, Explained Must- Know Deployment Strategies: From Big-Bang to Progressive Delivery Love Teaching? ByteByteGo Is Hiring Part-Time AI & Engineering Instructors What Salesforce Learned from 20,000 Enterprise Agent Deployments Token Spend Out of Control? The Case for Smarter Routing EP217: Latency vs Throughput vs Bandwidth The Path of a Request: A Tour of Modern Web Architecture How OpenAI Built Its Data Agent A Practical Guide to Becoming an AI-Native Engineer How DoorDash Built a Testing System to Evaluate LLMs Must-Know Failure Modes in Distributed Systems How Airtable Built the Search Layer Behind Their AI Features How Vercel Cut Build Wait Times From 90 Seconds To 5 How CockroachDB Built Vector Indexing at Scale EP216: RAGs vs Agents 🚀 New cohort based course launch: Build with Claude Code A Guide to Async Patterns in API Design How Netflix is Using Multimodal AI to Power Video Search How Snapchat Serves a Billion Predictions Per Second How Grab is Using AI Agents to Boost Team Productivity EP215: The Anatomy of an AI Agent LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 6 A Guide To Event-Driven Architectural Patterns High Performance Rate Limiting at Databricks How Figma Upgraded Data Pipeline from Multi-Day Latency to Real-Time How Pinterest Built a Production MCP Ecosystem EP214: Claude Code vs. OpenClaw: 5 Design Dimensions Become an AI Engineer | Enrollment Ends Soon Container Design Patterns for Distributed Systems How Instacart Built a Search for Billions of Products Connecting LLMs to the Real World: Tool Use, Function Calling, and MCP EP213: MCP vs Skills, Clearly Explained A Beginner’s Guide to Kubernetes The Tech Stack Powering Wise How Stripe Detects Fraudulent Transactions Within 100 ms How Amazon Uses LLMs to Recommend Products EP212: Data Warehouse vs Data Lake vs Data Mesh B-Trees vs LSM Trees: Comparison and Trade-Offs How DoorDash Launches a New Country in One Week The Security Architecture of GitHub Agentic Workflow EP211: How the JVM Works Figma Design to Code, Code to Design: Clearly Explained How LinkedIn Feed Uses LLMs to Serve 1.3 Billion Users EP210: Monolithic vs Microservices vs Serverless Must-Know Cross-Cutting Concerns in API Development How Spotify Ships to 675 Million Users Every Week Without Breaking Things Nextdoor’s Database Evolution: A Scaling Ladder A Guide to Context Engineering for LLMs EP209: 12 Claude Code Features Every Engineer Should Know Our New Book on Behavioral Interviews Is Now Available on Amazon Database Performance Strategies and Their Hidden Costs How Datadog Redefined Data Replication How Meta Turned Debugging Into a Product How Roblox Uses AI to Translate 16 Languages in 100 Milliseconds EP208: Load Balancer vs API Gateway LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 5 How to Implement API Security How Anthropic’s Claude Thinks How Netflix Live Streams to 100 Million Devices in 60 Seconds How Agentic RAG Works? Last Chance to Enroll | Become an AI Engineer | Cohort-Based Course EP207: Top 12 GitHub AI Repositories Event Sourcing Explained: Benefits and Use Cases How OpenAI Codex Works
A Guide to Relational Database Design
ByteByteGo · 2026-04-16 · via ByteByteGo Newsletter

The hardest part of relational database design is not using SQL. The syntax for creating tables, defining keys, and writing joins can be learnt and mastered over time. The difficult part is to develop the thinking that comes before any code gets written, and answering questions about the design of the database.

  • Which pieces of information deserve their own table?

  • How should tables reference each other?

  • How much redundancy is too much?

These are design decisions, and getting them right means our data stays consistent, our queries stay fast, and changes are painless. Getting them wrong means spending months patching problems that were baked into the structure from day one.

In this article, we cover the core concepts that inform those decisions. We’ll look at tables, keys, relationships, normalization, and joins, with each concept building on the last.