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You are building a batch data pipeline to process 100 GB of structured data from multiple sources for daily reporting. You need to transform and standardize the data prior to loading the data to ensure that it is stored in a single dataset. You want to use a low-code solution that can be easily built and managed. What should you do?
Correct Answer: B
Comprehensive and Detailed in Depth Explanation: Why B is correct:Cloud Data Fusion is a fully managed, cloud-native data integration service for building and managing ETL/ELT data pipelines. It provides a graphical interface for building pipelines without coding, making it a low-code solution. Cloud data fusion is perfect for the ingestion, transformation and loading of data into BigQuery. Why other options are incorrect:A: Looker studio is for visualization, not data transformation. C: Cloud SQL is a relational database, not ideal for large-scale analytical data. D: Cloud run is for stateless applications, not batch data processing.
