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<div style="display: none; max-height: 0px; overflow: hidden;">Claude Fable 5 is a major step up for complex data analysis, scoring roughly 10-15% better than recent frontier models on Hex’s evals </div>
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<h1><strong>TLDR Data <span id="date">2026-06-11</span></strong></h1>
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Join CEO Ben Brook on June 16 for a practical roadmap to first-party data activation and AI governance, plus a maturity diagnostic you can apply immediately.<p></p><p>> It starts with a real-time source of truth. Transcend encodes complete data-use permissions directly into the systems that process customer data, so every AI initiative and data product runs on a real-time source of truth. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftranscend.io%2F%3Futm_source=TLDR%26utm_medium=newsletter%26utm_campaign=2026-06-11_Primary_Transcend%26utm_content=Body_how/1/0100019eb6277c7b-97dae39b-e3a0-433a-9fbd-a758d3a005ed-000000/oIIkdszVQtb5VNZg9hvoFLB2vVD4f_nQRXaksJaNbXU=452" rel="noopener noreferrer nofollow" target="_blank"><span><strong>See how</strong></span></a>.</p>
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Streamling is an open-source Rust, Arrow, and DataFusion streaming runtime for transactional workloads rather than heavy analytics. It runs mostly single-node stateless pipelines with Kafka, Postgres, ClickHouse, HTTP enrichment, TypeScript/WASM transforms, plugins, checkpointing, and effectively-once delivery.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fengineering.salesforce.com%2Fscaling-zero-copy-from-1-trillion-to-120-trillion-rows-with-file-federation%2F%3Futm_source=tldrdata/1/0100019eb6277c7b-97dae39b-e3a0-433a-9fbd-a758d3a005ed-000000/3__5s_Bg_u4Vg9Pu1hg9dD4GBbecCDvIY1uDfiVNPIY=452">
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<strong>Scaling Zero Copy from 1 Trillion to 120 Trillion Rows with File Federation (5 minute read)</strong>
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Zero Copy at Salesforce Data 360 evolved from Query Federation to Iceberg File Federation to support AI workloads across distributed enterprise data without centralizing it. The new architecture reduces cross-system compute overhead, preserves governance through temporary catalog-based access, and is being pushed by the need for real-time AI across major data platforms.
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<strong>DataAgents: How we turned 9 months of analysis into 10 days (6 minute read)</strong>
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Capital One's DataAgent pattern cut cloud dormancy analysis across about 350 AWS, Azure, and GCP resource types from 6-9 months to 10 days. It combines asset data, AI-generated Spark SQL, confidence scoring, false-positive checks, and human validation to find high-confidence savings opportunities.
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<h1><strong>Quick Links</strong></h1>
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<strong>HNSW vs. LSH: How Elasticsearch Hits 0.99 recall@10 at 15,000 QPS — and What It Costs (9 minute read)</strong>
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Exact vector search fails at scale because of high dimensionality, making HNSW the dominant approach in Elasticsearch.
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<strong>Why we shrank our TimescaleDB chunks from 30 days to 7 (4 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Warner Music Group reduced TimescaleDB chunk intervals from 30 days to 7 days on high-ingest hypertables after larger chunks caused compression failures, slower recent queries, and costly backfills.
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