Dataset Groups

Comments
-
I build "core" ETL datasets, that I then call within other ETLs.
Many of our datasets come through API calls. I need to join labels to the identifiers for them to make more sense or to standardize name. Such as insurance company ids that we want to have common labels. So I will build out the base ETLs so they become reusable.
If my dataset is part of a raw API call, I add something like "jsn" to the name. If the dataset is an ETL flow, I add "df" for data flow.
I also use filter "tags" to identify groups to review. For example…all the scheduled API calls that run have a tag called "schedule". If I want to review those to make sure everything ran that day, I simply pull up the tag list for "schedule"** Was this post helpful? Click Agree or Like below. **
** Did this solve your problem? Accept it as a solution! **0 -
I agree with @ArborRose, using tags and standardizing your dataset names can help with this.
0
Categories
- All Categories
- 1.1K Product Ideas
- 1.1K Ideas Exchange
- 1.2K Connect
- 969 Connectors
- 257 Workbench
- Cloud Amplifier
- 1 Federated
- 2.4K Transform
- 76 SQL DataFlows
- 501 Datasets
- 1.8K Magic ETL
- 2.7K Visualize
- 2.2K Charting
- 375 Beast Mode
- 20 Variables
- 485 Automate
- 103 Apps
- 378 APIs & Domo Developer
- 6 Workflows
- 22 Predict
- 6 Jupyter Workspaces
- 16 R & Python Tiles
- 316 Distribute
- 64 Domo Everywhere
- 252 Scheduled Reports
- 59 Manage
- 59 Governance & Security
- 1 Product Release Questions
- 5K Community Forums
- 37 Getting Started
- 23 Community Member Introductions
- 63 Community Announcements
- 4.8K Archive