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Big Data Tech Team
Big Data Tech Team
Feb 26, 2026 · Big Data

How to Design Practical Data Architecture Diagrams: A Step‑by‑Step Guide

This guide walks data engineers through the entire process of creating clear, production‑ready data architecture diagrams—from identifying the diagram type and defining layers, to selecting tools, drawing step‑by‑step components, applying visual standards, avoiding common pitfalls, and validating the final design for stakeholders.

Diagrambig-datadata-architecture
0 likes · 11 min read
How to Design Practical Data Architecture Diagrams: A Step‑by‑Step Guide
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Dec 6, 2025 · Artificial Intelligence

How to Engineer Industrial‑Scale Function Call Data for AI Agents

This article explains why handcrafted SFT data fails for function‑call agents, introduces a controllable data‑sandbox approach, details label and variable design, shows code for seed generation and full dialogue synthesis, and demonstrates how the resulting dataset improves model routing, multi‑turn handling, tool sequencing, and error resilience.

AI-agentPrompt Designdata-engineering
0 likes · 12 min read
How to Engineer Industrial‑Scale Function Call Data for AI Agents
Radish, Keep Going!
Radish, Keep Going!
Feb 13, 2025 · Cloud Native

How Wise Is Building a Scalable 2025 Tech Stack with Kubernetes and AI

Wise’s 2025 tech stack overhaul details how its 850‑engineer team leverages cloud‑native tools like Kubernetes, Terraform, and AWS, modernizes frontend with Next.js and Storybook, accelerates mobile builds via Swift Package Manager and Gradle, and integrates AI, data pipelines, and observability to support 12.8 million active customers worldwide.

AIDevOpscloud-native
0 likes · 20 min read
How Wise Is Building a Scalable 2025 Tech Stack with Kubernetes and AI
ITPUB
ITPUB
Aug 31, 2016 · Artificial Intelligence

How Recommendation Systems Evolve: From Algorithms to Architecture Mastery

This talk traces the evolution of recommendation systems from early algorithm‑centric prototypes through a wild‑growth phase to a mature, architecture‑driven design, highlighting practical challenges, design principles, and lessons learned for building scalable, maintainable recommendation platforms.

AIArchitectureRecommendation Systems
0 likes · 19 min read
How Recommendation Systems Evolve: From Algorithms to Architecture Mastery