Data Observability in Analytics: Tools, Techniques, and Why It Matters
kdnuggets.comยท4d
๐Ÿ‘๏ธObservability
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11X Faster ScyllaDB Backup
scylladb.comยท4dยท
Discuss: Hacker News
๐Ÿ—„๏ธStorage Tiering
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Just know stuff (or, how to achieve success in a machine learning PhD) (2023)
kidger.siteยท15hยท
Discuss: Hacker News
๐Ÿ”ขNumPy
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Catalog of reliability properties for blockchains (Antithesis)
antithesis.comยท5dยท
Discuss: Hacker News
๐ŸงŠIceberg Tables
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Streamlining Multi-Account Infrastructure with AWS CloudFormation StackSets and AWS CDK
aws.amazon.comยท5d
โ˜๏ธAWS Infrastructure
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The ultimate guide to Open Source Observability in 2025: From silos to stacks
dev.toยท4hยท
Discuss: DEV
๐Ÿ‘๏ธObservability
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Designing Data-Intensive Applications [Book Review]-The Big Ideas Behind Reliable, Scalable and Maintainable Systems
dev.toยท3dยท
Discuss: DEV
๐Ÿ”งData Engineering
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Storage news ticker โ€“ 3 November 2025
blocksandfiles.comยท5d
๐Ÿ›๏ธLakehouse Architecture
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We Stopped Reaching for PySpark by Habit. Polars Made Our Small Jobs Boringly Fast.
dev.toยท1dยท
Discuss: DEV
๐Ÿ—data engineering
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.orgยท5d
๐Ÿ”งData Engineering
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The Production Generative AI Stack: Architecture and Components
thenewstack.ioยท2d
๐Ÿ“ŠColumnar Engines
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From Mapping Files to Data Plumbing
dev.toยท5dยท
Discuss: DEV
๐Ÿ”งData Engineering
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SQL or NoSQL? A Real Story From Building Healthcare Software (and How FHIR Fits In)
dev.toยท2dยท
Discuss: DEV
๐Ÿ’พDatabases
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
dev.toยท6dยท
Discuss: DEV
โšกDataFusion
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Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum
arxiv.orgยท5d
โ˜๏ธAWS Infrastructure
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Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index
arxiv.orgยท5d
๐Ÿ“‡Indexing Strategies
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Making the Backblaze Network AI Ready
backblaze.comยท3d
๐Ÿ‘๏ธObservability
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MySQL Memory Management and Replication Best Practices for High-Load Environments
dev.toยท1dยท
Discuss: DEV
โš™๏ธDatabase Internals
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Why Multimodal AI Broke the Data Pipeline โ€” And How Daft Is Beating Ray and Spark to Fix It
hackernoon.comยท6d
๐Ÿ“ŠColumnar Engines
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