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Data Overload Vol. 14

Data Overload Vol. 14

Welcome to Data Overload Vol. 14, Orchest’s monthly newsletter.

We launched Orchest 2.0 on Product Hunt! 🚀

Following the big success of our Community Event (watch it online if you missed it!), we officially launched the new Orchest UI, dubbed “Orchest 2.0”, on Product Hunt. We were thrilled to see so many positive comments from the community both on Product Hunt and on social media. If you haven’t seen the redesigned Orchest yet, it’s the perfect time to try it out for free!

We are proud Gold sponsors of NormConf 📣

In technology, boring is often better than sexy. That’s the premise of NormConf, a grassroots conference about “all the mundane, behind-the-scenes, how-the-sausage-is-made, middlebrow, unsexy, normcore stuff in the data and ML parts of the tech world”. We believe we’ve been doing data conferences all wrong and as such we have decided that our first conference sponsorship ever would go to NormConf. See you on December 15th!

Contribute to Orchest during Hacktoberfest 🎃

It’s autumn in the Northern Hemisphere, which means that the leaves of the trees begin to fall and Hacktoberfest arrives. During Hacktoberfest, if you contribute 4 valid pull requests this month, you can have a tree planted in your name, or the Hacktoberfest 2022 t-shirt. Orchest participates, so if you ever wanted to start contributing to open source, now it’s the time! Join our Slack workspace to find out more.

Thank you!

Thanks to all the Product Hunt community, Orchest enthusiasts, and data influencers for the massive amount of support these past weeks. You rock!

  • Juan Luis Cano (Data Scientist Advocate)

Product updates

✨ New tabbed navigation bar

We redesigned the navigation to make the different parts of a project easier to find.

🛠️ Pipeline toolbar

The pipeline editor has a friendly toolbar with all the actions you will need.

⌚ Revamped jobs page

You can now see the ongoing jobs at a glance and zoom into a particular job with ease.

What we're reading

  • Operationalizing Machine Learning: An Interview Study (scholarly article)

    It is refreshing to read evidence-based research on software engineering best practices, and this article was especially interesting. We enjoyed reading the pros and cons of working with notebooks, and analyzing the tradeoff between high velocity exploration, balancing the pitfalls of notebooks, and making the production and the development environments as similar as possible. Totally recommended!

Orchest is an open-source project that simplifies the development and deployment of data pipelines. Get started for free or download the open-source version!