Tag: ETL
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Introduction to ETL and ELT patterns
ETL and ELT are core data integration patterns that define how organizations move, transform, and analyze information. This post introduces both approaches, their architectures, trade-offs, and modern tooling, helping data engineers understand when to apply each and how to align them with modern cloud-native practices.
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Topics Everyone Is Talking About No229
Blazing-Fast Aggregations Land in PostgreSQL 19 • FLUX.2: Next-Generation Frontier Visual Intelligence • Jakarta Becomes the Worlds Largest City • Ilya Sutskever: From the Era of Scaling to the Era of Research • Python Isnt the Best Language for Data Science
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Topics Everyone Is Talking About No181
Programming Languages in the Age of AI Agents • Google Launches CodeWiki for AI-Powered Code Documentation • Iceberg: The Right Idea, The Wrong Spec
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Topics Everyone Is Talking About No173
marimo Reactive Notebook for Python • 650GB of Data on S3: Polars vs. DuckDB vs. Daft vs. Spark • AI-Powered Espionage: Nation-State Actors Use Claude Code for Cyber Attacks
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Topics Everyone Is Talking About No155
Scaling HNSWs in Redis: Building Faster Vector Search Structures • CPython 3.15 Boosts Decompression Speed by 30 • Stream or Batch? Tuning Apache Iceberg for Modern Data Pipelines
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Topics Everyone Is Talking About No134
SIMD in Rust 2025: Performance, Maturity, and Ecosystem Review • Löb and möb: Strange Loops in Haskell • Snakemake: Workflow Automation Between Power and Portability
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Topics Everyone Is Talking About No51
Root System Drawings • Solution to CIAs Kryptos Sculpture Found in Smithsonian Vault • Using CUE to Unify IoT Sensor Data • Solving the NYT Pips Puzzle with a Constraint Solver
