Monitoring Data Quality Trends with Cloud Dataprep and Data Studio

Even the best designed data pipelines are not immune to bad input data. Analytics and predictive models are often at the mercy of the quality of the incoming data. With bad data causing skewed or misinterpreted results. With Trifacta, you can define data quality rules yourself.

In this demo, you will see how Trifacta's rules definition engine and automatic identification and suggestion of likely rules enables your data analysts and data scientists to more quickly understand the quality of their source data in order to take action to resolve any quality issues that they've identified.