This article explains how to build a scalable data pipeline by streaming data from a relational database into Elasticsearch using Kafka Connect and Confluent Platform. The author assumes prior knowledge of setting up Apache Kafka and provides instructions on loading the Elasticsearch connector, configuring it for mapping and converting data types, and querying the data using the Elasticsearch REST API. The article highlights the benefits of using Kafka Connect, including scalability, fault-tolerance, and customizable pipelines, with examples that demonstrate how to extend this pipeline to land data in other destinations such as HDFS or BigQuery.