Karen Hsieh
Product Manager at Recce
CL Kao is the CEO and founder of Recce, bringing CI/CD and change validations to data-centric systems. Prior to Recce, he developed GPU-cluster management tools that empowered the world’s largest semiconductor manufacturer to efficiently run their data science and AI workloads. Earlier in his career, he created a precursor to Git, aiding companies like Apple in managing large-scale codebases. He also co-founded g0v (gov-zero), a civic tech community dedicated to tackling social and democratic challenges through open data and open source collaboration.
All Sessions by Karen Hsieh
Solution Showcase: Data Review is the New Code Review - An Example with dbt
<span class="etn-schedule-location"> <span class="secfocus">All Levels</span> </span>Code-first approaches to data systems have brought version control and testing to data work, but code review practices haven't fully transferred to the data domain. Without early stakeholder involvement in reviews, teams face increased rework, misaligned business logic, and costly downstream errors that undermine trust. This hands-on session demonstrates implementing effective data review using dbt. Just as code review improves software quality, data review transforms collaboration on data assets by bringing stakeholders in earlier. Learn practical techniques for reviewing transformations, validating business logic, and ensuring data quality before production. You'll leave with actionable strategies to enhance your team's data quality through systematic data review processes, whether you're already using dbt or just considering it.
Solution Showcase: Data Review is the New Code Review - An Example with dbt
<span class="etn-schedule-location"> <span class="secfocus">All Levels</span> </span>Code-first approaches to data systems have brought version control and testing to data work, but code review practices haven't fully transferred to the data domain. Without early stakeholder involvement in reviews, teams face increased rework, misaligned business logic, and costly downstream errors that undermine trust. This hands-on session demonstrates implementing effective data review using dbt. Just as code review improves software quality, data review transforms collaboration on data assets by bringing stakeholders in earlier. Learn practical techniques for reviewing transformations, validating business logic, and ensuring data quality before production. You'll leave with actionable strategies to enhance your team's data quality through systematic data review processes, whether you're already using dbt or just considering it.