Part 11/11:
The landscape of data engineering and analytics is rapidly evolving towards more agile, integrated, and real-time systems. While the traditional ETL process as we know it may face disruptions, its core principles—data discovery, cleansing, and transformation—will persist in new, more flexible forms. The journey towards zero-ETL architectures will be incremental, requiring enhancements in platform capabilities, organizational readiness, and governance practices.
As organizations navigate these changes, fostering a blend of technical expertise, business understanding, and strategic planning will be key to leveraging the full potential of modern data ecosystems.