Why you should think about moving analytics from batch to real-time

The article discusses the shift from batch analytics to real-time analytics and its benefits. It highlights that while over 80% of businesses believe transforming to a real-time enterprise is critical, only 12% have optimized their processes for real-time customer experiences. Real-time data is crucial in today's "right now" economy, with batch processing being less valuable due to potential data inconsistencies and latency issues. New technologies like Apache Kafka® are replacing traditional ETL processes, allowing companies to deliver huge amounts of data in near real-time. The article also emphasizes the advantages of switching to real-time analytics such as building resilient data pipelines, gaining a competitive advantage, improving efficiency, increasing revenue, and empowering data analysts. It suggests using open-source tools like Apache Kafka®, Apache Flink®, and ClickHouse® for the transition. The article concludes by stating that real-time analytics is not going away but will continue to evolve and become faster in the future.