Closed JvD007 closed 3 years ago
Hi Jaco, thanks for the feedback!
I agree, we will focus on better first-time user experience in the next few days including:
I will be letting you know of the progress here as we add/update things.
Regarding docker
, we use it for these purposes:
So I think getting rid of docker
completely can be our long-term goal. But in short term we can start moving more and more features out of the docker
allowing majority of users (data consumers) to use kamu
without it.
For example:
kamu sql
shell, not to depend on SparkOverall docker
is becoming more and more popular in data science community, as it simplifies repeatability and sharing of data projects. So if you encounter some specific issues with it we can try help you address them (e.g. link a step-by-step guide on setting up docker
with WSL2
.
In #35 I've added detailed help to all commands along with common usage examples (released in v0.38.2
).
I also gave Metadata Reference a better structure to make the job of writing dataset manifests easier.
Also added a new section of documentation on Merge Strategies with examples.
Update: kamu
now supports podman
for running containers without the need for sudo
or any privilege escalation possibilities.
Some questions around installation and user documentation:
What do we need to install to get Kamu up and running, by not using Docker?
Is it possible to give examples on all the functions of the kamu-cli, the help is not giving the best answer what you can do with it. The Add en Pull is clear and sql and notebook also.
Some examples with Python, SparkR and maybe others
Create a dataset on S3 etc
TX, Jaco