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Traditional ways of visualizing data lineage provide static mapping source datasets to various targets or outputs. As the breadth of analysis occurring in schema-on-read environments increases, tracking how elements of the data were derived is critical. Sean Kandel introduces a new way to visualize data lineage allowing stakeholders a transparent view into their data.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""