With real-time stream processing and cloud technologies emerging as the backbone of intelligent decision making, businesses are re-looking at traditional extract, transform, and load (ETL) processes used to integrate data from multiple sources. In this article, Amit Assudani, Solution Architect, Gathr, explores the need for ETL modernization and provides insights for ensuring a seamless modernization journey.
To learn more, read Why Modernizing ETL Is Imperative for Massive Scale, Real-Time Data Processing | Transforming Data with Intelligence (tdwi.org)
