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In today's data-driven world, organizations are increasingly reliant on efficient methods to transmit and process large volumes of data in real-time. Making informed decisions through real-time data analysis is imperative. This webinar is designed to simplify the complexities of data integration by delving into the Postgres to Kafka to Postgres architecture. By embracing this approach, organizations can streamline their data workflows, ensuring optimal efficiency. During the webinar, we will elucidate the effective utilization of Postgres, a robust database management system, functioning both as the data source and destination. Additionally, we will introduce Apache Kafka, a distributed streaming platform, as the central hub for data streaming. We will explore the seamless integration of Postgres and Kafka, emphasizing the synergy between them. Leveraging Kafka's reliable and scalable messaging capabilities, we will demonstrate how to construct a real-time data pipeline, efficiently streaming data from Postgres to numerous downstream systems or applications. This 45 minute session will focus on elucidating the key components and processes integral to setting up this data pipeline. Topics will encompass configuring Kafka Connect to extract data from Postgres, implementing efficient data transformations and enrichments using Kafka Streams, and storing the processed data back into Postgres for subsequent analysis and reporting. Who Should Attend: This webinar is tailored for data engineers, database administrators, and individuals keen on streamlining real-time data integration via the Postgres to Kafka to Postgres architecture. It is equally valuable for professionals engaged in data pipelines, data synchronization, and data streaming.