Welcome to Data Overload Vol. 8, the monthly newsletter with company updates from Orchest!
We announced a new release of Orchest powered by Kubernetes that has been a long time in the making. It will help our users scale their data pipelines with ease and deploy Orchest on their own k8s clusters, so we are beyond excited. You can read the complete announcement in our blog.
Our lightning talk at Data Council Austin went great, we got the opportunity to talk to a lot of likeminded people in the Data Engineering and MLOps ecosystems, and to make the experience even better, we were trending on GitHub during the event. Thanks for those stars!
We want to publish top-quality educational content on our blog about Data Science and Data Engineering concepts, and we started by writing an introduction to Apache Arrow that was quite well received. Check it out!
Our community is growing both on GitHub and our public Slack workspace and we are receiving super useful feedback from users. Thank you all!
- Juan Luis Cano (Data Scientist Advocate)
Fully integrated with the pipeline editor so you have more visibility of your files.
The upgrade to JupyterLab 3.2 brought a few niceties, including the debugger!
Useful if you have a multitouch device.
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!