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Which is an essential requirement when preparing data for loading into Snowflake?

  1. Creating a SQL view

  2. Establishing a File Format

  3. Using HTML formatting

  4. Employing Microsoft Excel

The correct answer is: Establishing a File Format

When preparing data for loading into Snowflake, establishing a file format is an essential requirement. File formats define the structure and type of the data files that will be ingested into Snowflake, including how to interpret the data, the delimiter used, whether the data is compressed, and other relevant attributes. Defining a file format ensures that Snowflake can correctly recognize and process the incoming data files. Different formats, such as CSV, JSON, Avro, or Parquet, have distinct characteristics, and specifying the appropriate format is crucial for successful data loading and achieving optimal performance. In contrast, the other options do not serve as essential requirements for data loading into Snowflake. Creating a SQL view is more relevant for querying and organizing data already in Snowflake rather than for the initial loading process. HTML formatting and using Microsoft Excel are not standard practices for loading data into Snowflake; rather, data should typically be prepared and saved in file formats supported by Snowflake's data loading utilities.