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🚨Free Resource: 120+ Data Science/Data Engineering Articles from 70+ Major Companies
From companies like Netflix, Apple, Google, Microsoft, Meta and others
 • Data Tinkerer
What the Data Crowd Was Reading in March 2026
Tools, techniques and deep dives worth reading that I came across in March 2026.
 • Data Tinkerer
How Notion Scaled AI Q&A to Millions of Workspaces
Kafka, Spark and Ray powering low-latency, high-throughput search pipelines
 • Data Tinkerer
What the Data Crowd Was Reading in February 2026
Tools, techniques and deep dives worth reading that I came across in February 2026.
 • Data Tinkerer
How Shopify Scales Taxonomy Evolution Across 10,000+ Categories With Multi-Agent AI
From reactive manual curation to continuous taxonomy evolution grounded in merchant reality.
 • Data Tinkerer
How LinkedIn Built a Pipeline That Scales to 230M Records/sec Without Breaking SLAs
From partition strategy to adaptive throttling, the playbook behind Venice’s ingestion evolution.
 • Data Tinkerer
What the Data Crowd Was Reading in January 2026
Tools, techniques and deep dives worth reading that I came across in January 2026.
 • Data Tinkerer
How to Build a Recommendation System at Scale: Insights from Instacart
A Senior ML Engineer on production constraints, rules vs ML and the workflow behind large-scale recommender systems
 • Data Tinkerer and Ahsaas Bajaj
How DoorDash Saves Tens of Millions of Dollars Per Year by Detecting Fraud 30× Faster
A daily anomaly detection system that cut discovery time from 100+ days to under three.
 • Data Tinkerer
How Grab Detects Data Issues across 100+ Kafka Topics Before They Spread
Real-time stream validation surfaces poison records early and notifies owners with context
 • Data Tinkerer
What the Data Crowd Was Reading in December 2025
Tools, techniques and deep dives worth reading that I came across in December 2025.
 • Data Tinkerer
How Uber Cut Data Lake Freshness From Hours to Minutes With Flink
Why Uber moved ingestion from Spark batch to Flink streaming and what it took to run thousands of jobs reliably at petabyte scale.
 • Data Tinkerer
What is Data Governance? A Practical Guide to Building Trustworthy Data in the Age of AI
From unclear ownership to missing standards, Charlotte Ledoux breaks down the simple governance practices that help organisations trust their data and…
 • Data Tinkerer and Charlotte Ledoux
What the Data Crowd Was Reading in November 2025
Tools, techniques and deep dives worth reading that I came across in November 2025.
 • Data Tinkerer
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