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Azgomi is a community application that facilitates communication between people in close proximity. It's used for event planning, organizing sporting events, and for businesses to connect with their local communities. Azgomi launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon, thanks to its unique style of hyper-local community communication and business outreach. The company wants to expand their existing service with updated functionality in new regions to better serve their global customers. They plan to hire and train a new team to support these regions in their time zones. They need to ensure the application scales smoothly and provides clear uptime data. Azgomi's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The Azgomi team understands their application well, but has limited experience in global scale applications. Their existing technical environment consists of existing APIs running on Compute Engine virtual machine instances hosted in GCP, state stored in a single instance MySQL database in GCP, data exported to an on-premises Teradata/Vertica data warehouse, data analytics performed in an on-premises Hadoop environment, no logging, and basic indicators of uptime. Azgomi's investors want to expand their footprint and support the increase in demand they are seeing. They need to expand availability of the application to new regions, increase the number of concurrent users that can be supported, ensure a consistent experience for users when they travel to different regions, obtain user activity metrics to better understand how to monetize their product, ensure compliance with regulations in the new regions (such as GDPR), reduce infrastructure management time and cost, and adopt Google-recommended practices for cloud computing. The application and backend must provide usage metrics and monitoring, and APIs require strong authentication and authorization. Logging must be increased, and data should be stored in a cloud analytics platform. Move to serverless architecture to facilitate elastic scaling, and provide authorized access to internal apps in a secure manner. Azgomi's data science team wants to analyze user reviews. What would be the appropriate way to get the data ready?