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Software Engineering Daily · Dec 21, 2021 · 38 min

Trifacta with Joe Hellerstein

If you haven’t encountered a data quality problem, then you haven’t yet worked on a large enough project. Invariably, a gap exists between the state of raw data and what an analyst or machine learning engineer needs to solve their problem. Many organizations needing to automate data preparation workflows look to Trifacta as a solution. In this episode, I interview Joseph Hellerstein, professor of Computer Science at UC Berkeley and co-founder of Trifacta. Sponsorship inquiries: sponsor@softwareengineeringdaily.com

0:00-38:20

transcript

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show notes

If you haven’t encountered a data quality problem, then you haven’t yet worked on a large enough project. Invariably, a gap exists between the state of raw data and what an analyst or machine learning engineer needs to solve their problem. Many organizations needing to automate data preparation workflows look to Trifacta as a solution. In this episode, I interview Joseph Hellerstein, professor of Computer Science at UC Berkeley and co-founder of Trifacta.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com