Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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Prepare and test your skills
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An e-commerce company is evolving its data strategy from simple raw log archiving in Cloud Storage to an active operational intelligence and machine learning ecosystem. Multiple data science and analytics teams need to spin up ephemeral, short-lived compute clusters running Apache Spark and Hive to process massive datasets and drive personalized customer recommendations.
The architecture must preserve table schemas, column statistics, and partition definitions across transient cluster lifecycles while enabling seamless metadata interoperability with Google Cloud services like BigQuery and Dataplex Universal Catalog.
Which solution should you implement to manage the centralized data lake metadata?
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