Begin by extracting the data from IP2WHOIS. This can be done by manually downloading the data you require in a CSV or JSON format. Ensure you have the necessary permissions and API access to download the data effectively.

Once you have the data, inspect it for any inconsistencies or errors. Clean the data by removing duplicates, correcting any format issues, and ensuring that all necessary fields are present. This step is crucial to avoid errors during the upload process to Firebolt.

Convert the cleaned data into a format compatible with Firebolt, such as Parquet or CSV. This can usually be done using a scripting language like Python or a command-line tool like Apache Arrow. Ensure the data types align with your Firebolt table schema to prevent type mismatches.

Set up a secure connection to your Firebolt database. This involves configuring your Firebolt account and ensuring you have the appropriate credentials and permissions to access the database. Use SSL connections to secure the data transfer process.

Before importing the data, create a table in Firebolt that matches the structure of your transformed data. Define the schema carefully, ensuring that data types correspond correctly to the transformed data file. Use Firebolt’s SQL command line to execute the table creation script.

Use Firebolt's built-in data loading capabilities to import the prepared data file into the newly created table. This can be done through the Firebolt command-line interface or the web console, using SQL commands like `COPY` to upload the data from a local file or cloud storage if supported.

After loading, run queries to verify that all the data is correctly imported and no information is lost or corrupted. Check the data integrity by comparing a subset of the original data with the imported data. Additionally, test query performance to ensure the data is optimized for analytics in Firebolt. Adjust indexing if necessary to enhance performance.