Free Guide

Apache Kafka and the Advantage of a Real-Time Data Lake Architecture for Analytics

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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This guide is for:

  • Data engineering leaders who want to understand how to solve practical security and privacy challenges on cloud data lakes
  • CIOs who want to ensure their organization is compliant and reduce operational risks
  • CTOs who want to discover cloud architecture best practices

Powering data lakes for data-intensive companies


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