As organizations transitioned from traditional data warehousing solutions to more modern architectures, they faced challenges in processing vast amounts of streaming data. Which technology or approach emerged as a solution for this challenge?

As organizations moved from traditional data warehousing to more modern architectures, they encountered challenges in processing real-time streaming data. Stream Processing, often implemented with technologies like Apache Kafka, emerged as a solution. It allows organizations to process and analyze data as it is generated in real-time, enabling timely insights and decision-making from streaming data sources.