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Ryan Boyd

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Ryan Boyd

Co-Founder & VP, Marketing + DevRel

Ryan started his career as a software engineer, but since has led DevRel teams for 15+ years at Google, Databricks and Neo4j, where he developed and executed numerous marketing and DevRel programs.

11 POSTS

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2024/10/31 - Mehdi Ouazza, Ryan Boyd

DuckDB Tutorial For Beginners

Get up to speed quickly with DuckDB, including installation, VSCode workflow integration and your first SQL analytics project.

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2024/07/16 - Ryan Boyd

New Collaboration Features: Org-level sharing and Auto-Join

Bring the Flock Together!

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2024/06/08 - Ryan Boyd

This Month in the DuckDB Ecosystem: June 2024

DuckDB Monthly: DuckDB 1.0.0, Hugging Face data sets, chron expressions, and more!

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2024/03/01 - Ryan Boyd

This Month in the DuckDB Ecosystem: February 2024

DuckDB Monthly: Featuring DuckDB 0.10.0, Christophe Oudar, new (free) book chapters, DuckCon videos and more!

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2024/01/30 - Ryan Boyd

This Month in the DuckDB Ecosystem: January 2024

DuckDB Monthly January: Featuring Mihai Bojin & Marcelo Cenerino , top content, and upcoming events!

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2023/11/28 - Ryan Boyd

Announcing: DuckDB code snippet sets with MotherDuck Sharing

The DuckDB Snippets site has been upgrade to include sharing sets of code snippets in SQL and Python plus also sharing data with MotherDuck share URLs.

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2023/09/20 - Ryan Boyd

Duck and Roll: MotherDuck is Open for All With $100M in the Nest

MotherDuck Now Open for All and closes Series B

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2023/01/31 - Ryan Boyd

Python Faker for DuckDB Fake Data Generation

Using the Python Faker library to generate data for exploring DuckDB

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2023/01/24 - Ryan Boyd

How to analyze SQLite databases in DuckDB

DuckDB is often referred to as the SQLite for analytics. This blog post talks about how to query SQLite transactional databases from within the DuckDB analytics database.

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2023/01/02 - Ryan Boyd

How We're Making Analytics Ducking Awesome

MotherDuck on Podcasts, in the News and at conferences.

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2022/11/11 - Tino Tereshko, Ryan Boyd

Why Use DuckDB for Analytics?

Fast aggregations, excellent SQL support, runs anywhere, provides simplified data access: cloud and local, works with your tools and frameworks.

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