Artwork

Content provided by Data as a Product Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data as a Product Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

#14 Knowledge First Approach and Reusing Existing Standards for Data Mesh - Interview w/ Juan Sequeda

1:08:00
 
Share
 

Manage episode 317305150 series 3293786
Content provided by Data as a Product Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data as a Product Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Episode list and links to all available episode transcripts (most interviews from #32 on) here

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

Juan's contact info and related links:

Email: juan at data.world

Twitter: @juansequeda / https://twitter.com/juansequeda

LinkedIn: https://www.linkedin.com/in/juansequeda/

Catalog & Cocktails Podcast: https://data.world/podcasts/

Juan's post about Zhamak's appearance on the Data Engineering Podcast: https://www.linkedin.com/pulse/my-takeaways-data-engineering-podcast-episode-mesh-zhamak-sequeda/

Juan's post about knowledge first: https://www.linkedin.com/feed/update/urn:li:activity:6884179569277059072/

Standards related links:

Dublin Core Metadata Initiative: https://dublincore.org/

RDF (Resoruce Description Framework): https://www.w3.org/2001/sw/wiki/RDF

OWL (Web Ontology Language): https://www.w3.org/OWL/

PROV-O: The PROV Ontology: https://www.w3.org/TR/prov-o/

In this episode, Scott interviews Juan Sequeda, Principal Scientist at data.world and co-host of the Catalog and Cocktails podcast. They discussed Juan's knowledge first approach: putting the meaning and value of the data first instead of focusing on the amount of data we are handling/producing. Knowledge first has 3 components, 1) context, 2) people, and 3) relationships. Juan is a big proponent of knowledge graphs and the relationships side is one many people miss.

Juan also gave some thoughts on what his approach to data mesh hinges on: treating data as a product and finding a balance between centralization and decentralization for all the aspects of building out an implementation. Juan mentioned Intuit's approach of fixed, flexible/extensible, or customizable as a good general tool and to look for (and embrace) what he calls intellectual friction.

Lastly, Juan and Scott talked about the general drive to reduce toil, of reinventing the wheel re data interoperability and standard schemas in data mesh. Juan points to a lot of existing research and standards - e.g. RDF, OWL, and many more (see below) - as a starting point.

Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn:

https://www.linkedin.com/in/scotthirleman/

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

  continue reading

422 episodes

Artwork
iconShare
 
Manage episode 317305150 series 3293786
Content provided by Data as a Product Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data as a Product Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Episode list and links to all available episode transcripts (most interviews from #32 on) here

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

Juan's contact info and related links:

Email: juan at data.world

Twitter: @juansequeda / https://twitter.com/juansequeda

LinkedIn: https://www.linkedin.com/in/juansequeda/

Catalog & Cocktails Podcast: https://data.world/podcasts/

Juan's post about Zhamak's appearance on the Data Engineering Podcast: https://www.linkedin.com/pulse/my-takeaways-data-engineering-podcast-episode-mesh-zhamak-sequeda/

Juan's post about knowledge first: https://www.linkedin.com/feed/update/urn:li:activity:6884179569277059072/

Standards related links:

Dublin Core Metadata Initiative: https://dublincore.org/

RDF (Resoruce Description Framework): https://www.w3.org/2001/sw/wiki/RDF

OWL (Web Ontology Language): https://www.w3.org/OWL/

PROV-O: The PROV Ontology: https://www.w3.org/TR/prov-o/

In this episode, Scott interviews Juan Sequeda, Principal Scientist at data.world and co-host of the Catalog and Cocktails podcast. They discussed Juan's knowledge first approach: putting the meaning and value of the data first instead of focusing on the amount of data we are handling/producing. Knowledge first has 3 components, 1) context, 2) people, and 3) relationships. Juan is a big proponent of knowledge graphs and the relationships side is one many people miss.

Juan also gave some thoughts on what his approach to data mesh hinges on: treating data as a product and finding a balance between centralization and decentralization for all the aspects of building out an implementation. Juan mentioned Intuit's approach of fixed, flexible/extensible, or customizable as a good general tool and to look for (and embrace) what he calls intellectual friction.

Lastly, Juan and Scott talked about the general drive to reduce toil, of reinventing the wheel re data interoperability and standard schemas in data mesh. Juan points to a lot of existing research and standards - e.g. RDF, OWL, and many more (see below) - as a starting point.

Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn:

https://www.linkedin.com/in/scotthirleman/

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

  continue reading

422 episodes

所有剧集

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide