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INsite, a consortium founded at the Indiana University School of Education, joined EA in July 2024. INsite's podcast, DatabasED, distills the complexities of data processes and analysis into terms and concepts that educators are familiar with and connect with their day-to-day practice.
In the latest episode of the DatabasED podcast, co-hosts Molly Stewart (Director of Research & Analytics Services) and Rosh Dhanawade (Vice President of Interoperability Solutions) chat with Mike Christian, Principal Researcher, and Sara Hu, Research Scientist I, at Education Analytics. In this episode, Mike and Sara share how interoperability technologies are transforming research in the education sector. They also dive into their experiences using Ed-Fi data, Snowflake, SQL, and dbt documentation to conduct large-scale, efficient research at EA, along with the learning curve researchers face when moving from traditional flat files to modern data warehouses. This conversation highlights how bridging research, data engineering, and educational practice enables faster analysis, resulting in better outcomes for students and education stakeholders.
Check out previous episodes of the podcast on our YouTube channel, here's the link: https://youtu.be/Ai3XhobYWpw
By INsite at Education AnalyticsINsite, a consortium founded at the Indiana University School of Education, joined EA in July 2024. INsite's podcast, DatabasED, distills the complexities of data processes and analysis into terms and concepts that educators are familiar with and connect with their day-to-day practice.
In the latest episode of the DatabasED podcast, co-hosts Molly Stewart (Director of Research & Analytics Services) and Rosh Dhanawade (Vice President of Interoperability Solutions) chat with Mike Christian, Principal Researcher, and Sara Hu, Research Scientist I, at Education Analytics. In this episode, Mike and Sara share how interoperability technologies are transforming research in the education sector. They also dive into their experiences using Ed-Fi data, Snowflake, SQL, and dbt documentation to conduct large-scale, efficient research at EA, along with the learning curve researchers face when moving from traditional flat files to modern data warehouses. This conversation highlights how bridging research, data engineering, and educational practice enables faster analysis, resulting in better outcomes for students and education stakeholders.
Check out previous episodes of the podcast on our YouTube channel, here's the link: https://youtu.be/Ai3XhobYWpw