When do we use Magic ETL and SQL data flows?
Comments
-
In my experience, anytime I'm doing something with large datasets or process intensive transformations I'll try to do it in the ETL module. ETLs normally run faster than SQL transforms. But there are some things that become cumbersome to 'code' in an ETL transform and then I'll just write what I need in SQL.
But if possible, I try to use ETL.
1 -
I think it depends on the setup and if you have a existing Enterprise Data Warehouse or if you are using DOMO as one. If you do you can try and perform the complex data transformations (column manipulation, generating self joins for rankings, etc...) outside of DOMO. Then push that data in and just use Magic ETL for the remaining lighter transformations.
My organization does not have a EDW so we use DOMO to merge a lot of our datasets from mutliple sources. Seems to me that once the transform get a little complex (which happens often), we need to make the switch to SQL. There is a significant difference in speed though, and I agree 100% that you should try and stick with Magic ETL as much as possible.
1
Categories
- All Categories
- 1.7K Product Ideas
- 1.7K Ideas Exchange
- 1.5K Connect
- 1.2K Connectors
- 292 Workbench
- 4 Cloud Amplifier
- 8 Federated
- 2.8K Transform
- 95 SQL DataFlows
- 600 Datasets
- 2.1K Magic ETL
- 3.7K Visualize
- 2.4K Charting
- 685 Beast Mode
- 43 App Studio
- 38 Variables
- 655 Automate
- 170 Apps
- 438 APIs & Domo Developer
- 42 Workflows
- 5 DomoAI
- 32 Predict
- 12 Jupyter Workspaces
- 20 R & Python Tiles
- 383 Distribute
- 110 Domo Everywhere
- 267 Scheduled Reports
- 6 Software Integrations
- 111 Manage
- 108 Governance & Security
- 8 Domo University
- 25 Product Releases
- Community Forums
- 39 Getting Started
- 29 Community Member Introductions
- 98 Community Announcements
- Domo Community Gallery
- 4.8K Archive