Google Professional Data Engineer

Google Professional Data Engineer

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As part of a digital transformation initiative, your organization has migrated its on-premises Apache Hadoop Distributed File System (HDFS) data lake to Google Cloud Storage. The data being stored will be analyzed and processed by the data science team leveraging Apache Spark and SQL technologies. Given the sensitive nature of some of the data, it is crucial to enforce security policies at the column level. The selected solution must be both cost-effective and capable of scaling into a data mesh architecture. What approach should you take to meet these requirements?