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My Sifflet Story

  • By Yashwanth T.
  • on 09/10/2024

What do you like best about the product?
User interface
Monitoring section
Rules for consistency, completenes, accurecy
Incident assign and resoultions
What do you dislike about the product?
Not much but recently when we were trying sifflet we didnot see the query or code which broke that rules or the rows which failed to comply with that rules
What problems is the product solving and how is that benefiting you?
Basically, Common data quality issues include missing values, duplicate records, incorrect data formats, inconsistent data values, outdated information, and data entry errors.

Helpful in Identify the root causes of data quality issues by analyzing data sources, processes, and systems.

Today we got immediate alert for one of the table went empty then we resolved the issue ASAP