Apache Kafka with and without a Data Lake

Apache Kafka is a cornerstone of many streaming data architectures – but what’s the next step? How do you build effective ETL flows, manage data and create scalable pipelines from Kafka to analytical tools?


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  • Benefits of using a data lake such as Amazon S3 when working with Apache Kafka.
  • Reading data directly from Kafka using SQL engines such as Presto or Amazon Athena, vs reading from a data lake.
  • Kafka producer and consumer best practices.
  • Use case and reference architectures.
  • And more!
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