New blog post: Access 150k+ Datasets from Hugging Face with DuckDB This blog post, co-authored by the Hugging Face and DuckDB teams, describes how you can use the hf:// prefix in DuckDB to access datasets in Hugging Face repositories. Read more at https://lnkd.in/dYf2PPKk
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Accessing over 150k+ open and free datasets has never been easier, thanks to DuckDB! you can run complex SQL queries across various file formats and truly enjoy your data exploration journey. Want to see how it works? Check out the detailed guide here: https://lnkd.in/e45begvi.
New blog post: Access 150k+ Datasets from Hugging Face with DuckDB This blog post, co-authored by the Hugging Face and DuckDB teams, describes how you can use the hf:// prefix in DuckDB to access datasets in Hugging Face repositories. Read more at https://lnkd.in/dYf2PPKk
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DuckDB Tip: Have you ever found yourself facing a new dataset and you want to inspect what the columns types are, what are their contents and you just run a LIMIT 10? Introduce "USING SAMPLE X", applied after the FROM clause but before your WHERE clause which should give a more "spread" out result. https://lnkd.in/dqEGEBFP
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Learn how to query billions of buildings from data on Source Cooperative and GeoParquet data on YOUR computer with DuckDB! #TutorialTuesday by Matt Forrest from CARTO https://lnkd.in/edh-bPjP
Query global buildings using DuckDB, GeoParquet, and Source Cooperative
https://www.youtube.com/
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Hi #rstats 👋 , Do you like dplyr? Have you ever heard about duckdb? We're delighted to announce Kirill Müller's upcoming talk at useR. He'll introduce duckplyr, a drop-in replacement for dplyr. The project's goal is to speed up more and more dplyr verbs, R functions, and data types, towards becoming the primary implementation of the dplyr grammar of data manipulation. 📅 WHERE/WHEN: https://sched.co/1c8zb 👩💻 Code: https://lnkd.in/dHyRqRcp
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Co-Author of “Apache Iceberg: The Definitive Guide” | Senior Tech Evangelist at Dremio | LinkedIn Learning Instructor | Tech Content Creator
ICEBERG METADATA TABLES This article will walk you through a hands-on exercise to get familiar with the Iceberg metadata tables. Read here: https://buff.ly/4eoqQLS #DataEngineering
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So much goodness in this post!
Let’s walk through RAG pain points and solutions! 🧑🏫🎬 We’re excited to feature Wenqi Glantz for a video walkthrough video of her popular “12 RAG Pain Points and Solutions” blog post, which is the most comprehensive cheatsheet we’ve seen of pain points that occur at every stage of the RAG pipeline: data ingestion, retrieval, reranking, synthesis, and more. These pain points include response quality, systems-concerns, and security. Each pain point maps to a set of possible solutions with LlamaIndex. Check it out! https://lnkd.in/guThMCjU Source post: https://lnkd.in/gGM92aZ8
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ICEBERG METADATA TABLES This article will walk you through a hands-on exercise to get familiar with the Iceberg metadata tables. Read here: https://lnkd.in/ezqxV4Ti #DataEngineering
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ICEBERG METADATA TABLES This article will walk you through a hands-on exercise to get familiar with the Iceberg metadata tables. Read here: https://lnkd.in/ezqxV4Ti #DataEngineering
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another chapter completed. following the striver's A-Z sheet, done with array and binary search problems. learned so much, and continuing the flow. binary search is one of the best data structure to reduce the time complexity effectively. started with linked list, already done 20 problems on that. looking forward to it✌🏻
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Explore the power of interactive maps within your Jupyter Notebooks with the new ipyopenlayers library! Discover how this tool integrates OpenLayers, bringing your geospatial data to life. Read more in our latest blog post! https://lnkd.in/ga8qnx4e
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CEO @ Mage 🧙♀️ 🔥
6moThat’s super useful