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Prepare and test your skills
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A retail analytics team needs to build a new data pipeline to ingest, clean, and transform transactional records from multiple database sources before loading them into their analytics storage.
The team has established the following requirements:
Which Google Cloud service should the team select?
Cloud Data Fusion is Google Cloud's fully managed, cloud-native data integration service that provides a graphical user interface for building and managing scalable ETL/ELT data pipelines. Built on the open-source CDAP (Cask Data Application Platform) framework, it allows organizations to ingest data from heterogeneous sources, apply complex transformations visually, and sink transformed datasets into analytics destinations such as BigQuery without writing underlying code.
Cloud Data Fusion is the optimal choice because it specifically targets users who need a no-code visual ETL interface. In contrast to programmatic frameworks like Dataflow or code-driven cluster solutions like Dataproc, Cloud Data Fusion accelerates time-to-value for business analysts while retaining robust distributed data processing capabilities.
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