A healthcare org has decentralized data across storage services; you need a cost-optimized solution for data discovery, lineage, and data quality validation. What do you deploy?
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Correct answer: Use Dataplex to manage data, track data lineage, and perform data quality validation..
Why this is the answer
Dataplex is the correct choice because it is a fully managed data fabric that provides capabilities for data discovery, metadata management, data lineage, and data quality validation across distributed data sources. It allows you to unify and govern data lakes, data warehouses, and data marts without data movement. BigLake is primarily for querying data lakes with BigQuery and doesn't offer the comprehensive data governance and quality features needed. Building a custom tool on GKE would be costly and time-consuming, duplicating functionality already available in Dataplex. While BigQuery can store lineage metadata and Dataprep can perform data quality, this approach is more fragmented and less integrated than Dataplex, which offers a unified platform for these needs.
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