The Data Stack Show 242: The Data Convergence: How Operational and Analytical Data Are Merging with Ruben Burdin of Stacksync
May 14, 2025
Ruben Burdin, Co-founder and CEO of Stacksync, dives into the fascinating world of data convergence. He discusses how operational and analytical data are merging, reshaping business practices. Ruben explores the evolution from classic data warehousing to real-time fulfillment centers. He addresses challenges in API integration and the complexities of data models between applications and CRMs. The conversation highlights the advancements in real-time data synchronization and the role of Python scripts in simplifying data integration.
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Operational and Analytical Data Merging
- Operational and analytical data are merging due to improvements in real-time capabilities.
- Databases and data warehouses are evolving to serve both operational and analytical needs simultaneously.
Difference Between Operational and Analytical Data
- Operational data consists of real-time, single event actions requiring immediate response.
- Analytical data is batched, aggregated, and less time-sensitive, often representing metrics like revenue.
Evolution to Real-Time Two-Way Sync
- The evolution of data infrastructure is from storage to warehouses, to ETL pipelines, dashboards, and now real-time two-way synchronization.
- Real-time syncing with conflict resolution differentiates two-way sync from traditional ETL or reverse ETL processes.