Azure Data Factory for Beginners - Build Data Ingestion - Write to Data Lake - Raw Plan

The video tutorial outlines the steps to handle a sync data set, starting with creating a finance container within a data engineering storage account. It explains the need for storage directories based on data type and introduces an event-driven data pipeline. The proposed storage structure is detailed, reflecting data delivery times. Finally, the creation of a sync data set with specific parameters is discussed.

What is the first step mentioned for handling the sync data set?

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How will the storage directories be organized according to the type of data?

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What does 'event driven' mean in the context of the data factory pipeline?

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Describe the proposed storage structure for the data.

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What parameters must the sync data set contain?

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