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Your retail company collects customer data from various sources: Online transactions: Stored in a MySQL database Customer feedback: Stored as text files on a company server Social media activity: Streamed in real-time from social media platforms You are designing a data pipeline to extract this data. Which Google Cloud storage system(s) should you select for further analysis and ML model training?
Correct Answer: B
Online transactions:Storing the transactional data inBigQueryis ideal because BigQuery is a serverless data warehouse optimized for querying and analyzing structured data at scale. It supports SQL queries and is suitable for structured transactional data. Customer feedback:Storing customer feedback inCloud Storageis appropriate as it allows you to store unstructured text files reliably and at a low cost. Cloud Storage also integrates well with data processing and ML tools for further analysis. Social media activity:Storing real-time social media activity inBigQueryis optimal because BigQuery supports streaming inserts, enabling real-time ingestion and analysis of data. This allows immediate analysis and integration into dashboards or ML pipelines.