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What is the real-time data challenge and how does Apache Kafka and data-lake architecture solves it? Read our guide to find out.
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?
Download our free paper and learn about:
1) Reading directly from a Kafka cluster.
2) Introducing a data lake as an intermediate stage.
3) Declarative Data Pipelines principles
4) How Upsolver can facilitate handling with Apache Kafka
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