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Foundations of Cloud Data Lake Architecture – Apache Spark vs. Upsolver SQLake
Apache Spark promised a bright future for cloud data lakes. Has it lived up to expectations? Read our guide to find out.
Spark is powerful, to be sure, and its flexible real-time compute engine does support complex transformations. Yet it’s also the reason many data lake projects fall short, or fail outright:
Download our free paper and learn about:
1) Apache Spark pros and cons
2) Other ETL Tools alternatives
3) The Upsolver SQLake Approach
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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
