Useful in spotting problems and setting multiple monitors
What do you like best about the product?
I am a data engineer in charge of data quality in my company and, with Sifflet, I am able to perform multiple quality checks (nulls, seasonality patterns, invalid values...) very easily and quickly.
So far, after a few days of usage, I have spotted a few problems (for instance, invalid regex) that were under the radar.
So far, after a few days of usage, I have spotted a few problems (for instance, invalid regex) that were under the radar.
What do you dislike about the product?
The main problem with Sifflet for me, is the number of available monitor templates, which can be overwhelming for new users. I would say the learning curve is rather steep for Sifflet.
What problems is the product solving and how is that benefiting you?
Problems:
- Data quality (assuring data conformity and compliance with business rules)
- Data observability (make sure we process consistent volume of data daily for our import/export flows)
Benefits (so far):
- Spotting data problems (high number of null values, low volume of processed/ingested data)
- Data quality (assuring data conformity and compliance with business rules)
- Data observability (make sure we process consistent volume of data daily for our import/export flows)
Benefits (so far):
- Spotting data problems (high number of null values, low volume of processed/ingested data)