51 min listen
Data Quality Starts At The Source
ratings:
Length:
59 minutes
Released:
Nov 14, 2021
Format:
Podcast episode
Description
The most important gauge of success for a data platform is the level of trust in the accuracy of the information that it provides. In order to build and maintain that trust it is necessary to invest in defining, monitoring, and enforcing data quality metrics. In this episode Michael Harper advocates for proactive data quality and starting with the source, rather than being reactive and having to work backwards from when a problem is found.
Released:
Nov 14, 2021
Format:
Podcast episode
Titles in the series (100)
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60: Tackling Apache Spark From The Data Engineer's Perspective (Interview) by Data Engineering Podcast