How to Build a Modern Data Stack From the Ground Up

In a recent presentation at the Modern Data Stack Conference EMEA, data architecture expert Nas Radev shared insights on building a modern data stack from scratch. The components of such a stack include a data ingestion solution, a data warehouse or data lake, a transformation tool, and a business intelligence (BI) tool. To successfully build this stack, businesses must first identify their data sources and choose the right ingestion tool. Next, they should plan for transformation and select a suitable data warehouse, possibly using an open-source tool like dbt to simplify the process. Finally, they need to pick a BI tool that aligns with their specific use case. Throughout this process, Radev emphasizes the importance of maintaining high data quality across all components to ensure success.