Latest data engineering and data science news from TLDR Data

Every issue of the TLDR Data newsletter, newest first. Each issue rounds up the latest data engineering and data science news (data engineering and data science), with every story summarized in a few sentences and linked to its source.

LinkedIn Gives Agents Context ๐Ÿ“š, Claude Dashboards ๐Ÿ“Š, Salesforce Spark Optimization โšก
iPhone Beats Databricks ๐Ÿ“ฑ, Pinterest's Metrics Board ๐Ÿงฎ, Airbnb Replays Production Traffic โช
Cloudflareโ€™s Decision Models ๐ŸŽผ, Inside OpenAIโ€™s Data Agent ๐Ÿง , DuckDB Inside Aurora ๐Ÿ”—
Claude Kills the Claudisms โœ๏ธ, X-ray Your Parquet ๐Ÿฉป, DuckDB 1.5.6 Lands ๐Ÿฆ†
Agents Rewire Robot Policies ๐Ÿค–, Making AI-SQL Much Faster โšก, Safe Not Safe ๐Ÿ”
AI Benchmarks Are Broken ๐Ÿ’ฅ, Jev Inside Your Warehouse โšก, Doom Runs on SQL ๐ŸŽฎ
System 1 Models for Data โšก, Postgres Meets Jev ๐Ÿ˜, A 4B Model Beats Postgres ๐ŸŽฏย 
LangChainโ€™s Paid Media Agent ๐ŸŽฏ, DuckDB Skills for Claude Code ๐Ÿฆ†, How Many Labels? ๐Ÿท๏ธ
Postgres at 118M QPS ๐ŸŽ๏ธ, ChatGPT Work Data Agent ๐Ÿ—ฃ๏ธ, Lyftโ€™s Travel-Time Map ๐Ÿš•
30 Years of Postgres ๐Ÿ˜, Spotify Skips Bayesian ๐ŸŽง, Kestra 2.0 Ships ๐Ÿš€
Spotify Cuts Agent Token Usage ๐Ÿ“‰, How Proxies Help Databases ๐Ÿšฆ, Data Teams Are Context Teams ๐Ÿง‘โ€๐Ÿซ
Netflixโ€™s Parallel Spark Tuning ๐Ÿ“Š, Tracing AI Token Waste ๐Ÿ’ธ, S3 Gets More Duck ๐Ÿฆ†
Spark 4.1.0 Released โšก, How Twilio Tracks Lakehouse Staleness ๐Ÿšจ, Replacing Fivetran at Scale ๐Ÿ”„
DuckLabs Joins AWS ๐Ÿฆ†, LinkedInโ€™s Cognitive Memory Agent ๐Ÿง , Chaos Testing Kafka ๐ŸŒช๏ธ
The Politics Behind Metrics ๐Ÿ›๏ธ, Unlearning Pandemic Demand ๐Ÿฆ , The Art of Indexing โšก
Inside DuckDB 2.0 ๐Ÿฆ†, ACID for AI Agents โœ…, Variant Lands in Iceberg ๐Ÿช†
Benchmarking Agentic Analytics ๐Ÿ“Š, Faster Lakehouse Lookups ๐Ÿ”Ž, Comet Hits 1.0 โ˜„๏ธ
Vercelโ€™s Migration to DynamoDB ๐Ÿชข, Stripeโ€™s Self-Healing Databases ๐Ÿ› ๏ธ, Electric Joins Databricks โšก
Robotics Data Stack ๐Ÿค–, Automating the Semantic Layer ๐Ÿ“Š, The Agent Sprawl Problem ๐Ÿ‡
Netflix Simplifies Storage ๐ŸงŠ, Meta Doubles Training Efficiency ๐Ÿ’Ž, Metrics Defined Once ๐ŸŽฏ