Developers prefer ELT with SQL, want an intuitive coding environment, and need SQL-as-code for BigQuery transformations. Which product do you use?

Dataform is the correct choice because it is specifically designed for ELT workflows using SQL, providing an intuitive coding environment for data professionals who prefer SQL. It enables SQL-as-code for BigQuery transformations, allowing developers to build, manage, and schedule data pipelines directly within a SQL-centric framework. Dataflow is a good option for complex, streaming, or batch data processing, but it primarily uses Apache Beam, not SQL-as-code for transformations. Data Fusion is an ETL tool that uses a graphical interface and Apache Spark under the hood, which doesn't align with the SQL-as-code requirement. Cloud Composer is an orchestration service for workflows, but it doesn't provide the intuitive SQL-as-code development environment for transformations that Dataform offers; it would primarily be used to schedule Dataform jobs or other BigQuery operations.