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TECHNICAL WHITEPAPER
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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What will you learn from this whitepaper?
- 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!
Powering data lakes for data-intensive companies
