The article provides a step-by-step guide on building a simple data streaming pipeline using Apache Kafka, Kafka Connect, and other tools like MySQL and Elasticsearch, demonstrating how to stream data from MySQL into Kafka and then into a text file or Elasticsearch, using the Kafka Connect API without the need for coding. It showcases the ease of integrating data from sources into targets and allows for scalable streaming data pipelines, emphasizing Kafka's role as a central integration point for data feeds and real-time applications. The guide includes detailed instructions for setting up the environment on a Mac using tools like Confluent Platform, jq, and brew, and provides insights into configuring connectors with Kafka Connect Distributed mode for scalable operations. The article also highlights the automatic management of timestamps by MySQL and the offset-tracking capability of Kafka Connect, making it easier to handle new or updated rows in the database, and offers a glimpse into further extending the pipeline in upcoming parts of the series.