The correct answer is Power BI Dataflows.

Power BI Dataflows provides a single self service workspace where business analysts can prepare and explore datasets using Power Query based transformations and store reusable entities that integrate directly with Power BI reporting and other analytics tools. The service is designed for business user self service data preparation and it supports connections to many data sources as well as storage in Azure Data Lake for downstream use.

Azure Synapse Analytics is a powerful integrated analytics platform for large scale data warehousing and big data processing, but it is more infrastructure and developer oriented than a lightweight self service workspace for business analysts who need a simple prepare and explore experience.

Azure Data Factory is an orchestration and ETL service that is ideal for building data pipelines and integrating data at scale, but it does not provide the interactive, self service workspace and native reporting integration that Power BI Dataflows offers for business analysts.

Azure Databricks is focused on collaborative data engineering and data science with notebooks and Spark processing, and it is not primarily intended as a self service BI workspace for business analysts to prepare datasets and hook them directly into reporting tools.

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