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Episode 147 : Small data and MLops stacks

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Content provided by Vincent Heuschling, Alexander Dejanovski, Jérôme Mainaud, and Nicolas Steinmetz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Vincent Heuschling, Alexander Dejanovski, Jérôme Mainaud, and Nicolas Steinmetz 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://ro.player.fm/legal.
### Apéro
* CVE-2022-38392 -> https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-38392
* Une chanson de Janet Jackson reconnue officiellement comme un malware -> https://www.01net.com/actualites/une-chanson-de-janet-jackson-reconnue-officiellement-comme-un-malware.html
* AI Images: Last Week Tonight with John Oliver (HBO) -> https://youtu.be/3YNku5FKWjw
* Demystifying the Parquet File Format | by Michael Berk -> https://towardsdatascience.com/demystifying-the-parquet-file-format-13adb0206705
* dbt Constraints: Automatic Primary Keys, Unique Keys, and Foreign Keys for Snowflake -> https://medium.com/snowflake/dbt-constraints-automatic-primary-keys-unique-keys-and-foreign-keys-for-snowflake-d78cbfdec2f9
* DBT certification guide -> https://www.getdbt.com/assets/uploads/dbt_certificate_study_guide.pdf?utm_content=216608283&utm_medium=social&utm_source=linkedin&hss_channel=lcp-10893210
### Data-science (en production)
* Build your open-source MLOps stack -> https://mymlops.com/
* Is “Small Data” The Next Big Thing In Data Science? -> https://towardsdatascience.com/is-small-data-the-next-big-thing-in-data-science-9acc7f24907f
* A Framework to Understand How Low-Quality Data Hurts Business Performance -> https://towardsdatascience.com/a-framework-to-understand-how-low-quality-data-hurts-business-performance-386c10c4fe1e
### Outils
* Unix Shells and Terminals -> https://itnext.io/unix-shells-and-terminals-6012fe713e4f
  continue reading

227 episoade

Artwork

Episode 147 : Small data and MLops stacks

Big Data Hebdo

68 subscribers

published

iconDistribuie
 
Manage episode 341563194 series 1456667
Content provided by Vincent Heuschling, Alexander Dejanovski, Jérôme Mainaud, and Nicolas Steinmetz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Vincent Heuschling, Alexander Dejanovski, Jérôme Mainaud, and Nicolas Steinmetz 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://ro.player.fm/legal.
### Apéro
* CVE-2022-38392 -> https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-38392
* Une chanson de Janet Jackson reconnue officiellement comme un malware -> https://www.01net.com/actualites/une-chanson-de-janet-jackson-reconnue-officiellement-comme-un-malware.html
* AI Images: Last Week Tonight with John Oliver (HBO) -> https://youtu.be/3YNku5FKWjw
* Demystifying the Parquet File Format | by Michael Berk -> https://towardsdatascience.com/demystifying-the-parquet-file-format-13adb0206705
* dbt Constraints: Automatic Primary Keys, Unique Keys, and Foreign Keys for Snowflake -> https://medium.com/snowflake/dbt-constraints-automatic-primary-keys-unique-keys-and-foreign-keys-for-snowflake-d78cbfdec2f9
* DBT certification guide -> https://www.getdbt.com/assets/uploads/dbt_certificate_study_guide.pdf?utm_content=216608283&utm_medium=social&utm_source=linkedin&hss_channel=lcp-10893210
### Data-science (en production)
* Build your open-source MLOps stack -> https://mymlops.com/
* Is “Small Data” The Next Big Thing In Data Science? -> https://towardsdatascience.com/is-small-data-the-next-big-thing-in-data-science-9acc7f24907f
* A Framework to Understand How Low-Quality Data Hurts Business Performance -> https://towardsdatascience.com/a-framework-to-understand-how-low-quality-data-hurts-business-performance-386c10c4fe1e
### Outils
* Unix Shells and Terminals -> https://itnext.io/unix-shells-and-terminals-6012fe713e4f
  continue reading

227 episoade

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