התחל במצב לא מקוון עם האפליקציה Player FM !
פודקאסטים ששווה להאזין
בחסות


1 #52: Navigating the effect of AI on marketing jobs and the job market with Sue Keith, Landrum Talent Solutions 19:09
Practical Applications for DuckDB (with Simon Aubury & Ned Letcher)
Manage episode 431665516 series 3476072
DuckDB’s become a favourite data-handling tool of mine, simply because it does so many small things well. It can read and write a huge number of data formats; it can infer schemas automatically when you just want to move quickly; and it can interface with most languages, run like lightning on the desktop or be embedded into a webpage. I’m a huge fan.
But I’m not nearly as knowledgeable as this week’s two fans, Simon Aubury and Ned Letcher, who’ve just written a book on all the many ways you can use DuckDB and all the hidden tricks and tips that help you make the most of this. So in this episode we’re taking a practical look at DuckDB, what problems it can solve at work, and how to start getting the most out of it.
–
Getting Started with DuckDB (book): https://packt.link/byKYt
DuckDB episode with Hannes Mühleisen: https://youtu.be/pZV9FvdKmLc
DuckDB: https://duckdb.org/
dplyr, the data-manipulation language: https://dplyr.tidyverse.org/
duckplyr, DuckDB’s ‘native’ version: https://github.com/duckdblabs/duckplyr
Substrait: https://substrait.io/
Observable (Markdown+DuckDB=Reports): https://observablehq.com/framework/
DuckDB’s “friendly” SQL: https://duckdb.org/docs/sql/dialect/friendly_sql.html
Community Extensions: https://community-extensions.duckdb.org/
DuckCon #5: https://duckdb.org/2024/08/15/duckcon5.html
Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices
Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join
Simon on Twitter: https://x.com/SimonAubury
Ned on Twitter: https://x.com/nletcher
Kris on Mastodon: http://mastodon.social/@krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Kris on Twitter: https://twitter.com/krisajenkins
93 פרקים
Manage episode 431665516 series 3476072
DuckDB’s become a favourite data-handling tool of mine, simply because it does so many small things well. It can read and write a huge number of data formats; it can infer schemas automatically when you just want to move quickly; and it can interface with most languages, run like lightning on the desktop or be embedded into a webpage. I’m a huge fan.
But I’m not nearly as knowledgeable as this week’s two fans, Simon Aubury and Ned Letcher, who’ve just written a book on all the many ways you can use DuckDB and all the hidden tricks and tips that help you make the most of this. So in this episode we’re taking a practical look at DuckDB, what problems it can solve at work, and how to start getting the most out of it.
–
Getting Started with DuckDB (book): https://packt.link/byKYt
DuckDB episode with Hannes Mühleisen: https://youtu.be/pZV9FvdKmLc
DuckDB: https://duckdb.org/
dplyr, the data-manipulation language: https://dplyr.tidyverse.org/
duckplyr, DuckDB’s ‘native’ version: https://github.com/duckdblabs/duckplyr
Substrait: https://substrait.io/
Observable (Markdown+DuckDB=Reports): https://observablehq.com/framework/
DuckDB’s “friendly” SQL: https://duckdb.org/docs/sql/dialect/friendly_sql.html
Community Extensions: https://community-extensions.duckdb.org/
DuckCon #5: https://duckdb.org/2024/08/15/duckcon5.html
Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices
Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join
Simon on Twitter: https://x.com/SimonAubury
Ned on Twitter: https://x.com/nletcher
Kris on Mastodon: http://mastodon.social/@krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Kris on Twitter: https://twitter.com/krisajenkins
93 פרקים
כל הפרקים
×
1 Beyond AI Hype, What Will Developers Actually Use? (with Zach Lloyd) 1:18:06

1 The $500 Billion Integration Problem, And One Possible Solution (with Marty Pitt) 1:31:33

1 Making Software Crash Before It Breaks (with Isaac Van Doren) 57:08

1 Making Apache Kafka Diskless (with Filip Yonov & Josep Prat) 1:29:29

1 Java's Cutting Edge Comeback (with Josh Long) 1:24:29

1 The State & Future of Apache Kafka (with Anatoly Zelenin) 1:12:22

1 DataFusion - The Database Building Toolkit (with Andrew Lamb) 1:32:10

1 Jupyter's Architecture Unpacked (with Afshin Darian & Sylvain Corlay) 1:29:11

1 Nix, The Build-Everything Language (with Julian Arni) 1:20:36

1 Graphite: Image Editing as a Syntax Tree (with Keavon Chambers & Dennis Kobert) 1:17:32

1 ReScript: A Better Typed JavaScript? (with Gabriel Nordeborn) 1:32:53

1 A universal query engine in Rust (with Predrag Gruevski) 1:15:31

1 Raspberry Pi Hardware & A Lisp Brain (with Dimitris Kyriakoudis) 1:34:43

1 Software Systems Aren't Just Software (with Diana Montalion) 1:50:14

1 Building Fyrox: A Rust Game Engine (with Dmitry Stepanov) 1:43:45
ברוכים הבאים אל Player FM!
Player FM סורק את האינטרנט עבור פודקאסטים באיכות גבוהה בשבילכם כדי שתהנו מהם כרגע. זה יישום הפודקאסט הטוב ביותר והוא עובד על אנדרואיד, iPhone ואינטרנט. הירשמו לסנכרון מנויים במכשירים שונים.