Streaming Audio: Apache Kafka® & Real-Time Data
Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
Streaming Audio: Apache Kafka® & Real-Time Data
Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi
As the head of global field engineering and community at Imply, Rachel Pedreschi is passionate about engaging both externally with customers and internally with departments all across the board, from sales to engineering. Rachel’s involvement in the open source community focuses primarily on Apache Druid, a real-time, high-performance datastore that provides fast, sub-second analytics and complements another powerful open source project as well: Apache Kafka®. Together, Kafka and Druid provide real-time event streaming and high-performance streaming analytics with powerful visualizations.
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