In the January 15th dashboard release, the “Load” button for the Good Data dashboard was changed to “Data” and now there isn’t any way to see my previous uploads from CSV to my dashboard and when I try using the new “Load” function, I get error messages that the data already exists and can’t be updated or replaced.
It looks like I need to rebuild everything, including all my insights, from scratch to make this work again.
Am I the only one here that was uploading from CSV files to the dashboard and having insights attached to those CSV uploads in the past but now have issues with uploading after the January 15th software release?
Best answer by Andrey
Andrey from Product team there.
It’s sad to learn that the recent update brought you such troubles, allow me to apologise for the inconvenience caused and I can assure you this wasn’t intended. When looking into this issue, we have found that you were one of few people using our platform in a very specific way that doesn’t utilise core values GoodData Platform provide to our customers.
GoodData platform is there to empower our users to
- Load and update data from data warehouses by schedule
- Build context-aware metrics by utilising logical data model connecting logically coupled datasets
- Create embeddable interactive insights and dashboards
and most of these values were inaccessible in the way your workspaces were set up previously. The reason for that is use of now deprecated tool for ad-hoc analysis of CSV files that you were using. Structures created by it weren’t connected to the main data model of a workspace.
To turn the situation around I would recommend you to start with building logical data model by importing or drag-and-dropping your CSV file(s). You can do that in the Data section of a workspace introduced in this update. Experience should be quite similar to what you were used to before. First time you import the file data from it will be loaded to the dataset during publishing, following that please go to Load application to refresh data contents manually or from some cloud source. Having logical data model will create a stable structure to load your data regardless the source. If you would like to expand your data by some more related data points, you can append the data model with more datasets and connect them one to another, so the data from one can be used in another referenced by primary key.
This wouldn’t bring the visualisation (insights) you had created previously though, and you still will have to build them from scratch however you will now have a good base to build on that is future-proof.
I hope this helps and we would continue our cooperation.