Begin by logging into your Retently account. Navigate to the data export section, often found under reports or data management. Select the data you wish to export, ensuring you choose a format that can easily be processed by your tools, such as CSV or JSON. Initiate the export and download the file to your local machine.

Ensure you have a working Apache Iceberg environment. This typically involves setting up a compatible data processing engine like Apache Spark or Apache Flink, which supports Iceberg. Install the necessary dependencies and configure your environment to connect to your chosen Iceberg-compatible storage system (e.g., Hadoop HDFS, S3, or a compatible file system).

Analyze the exported data to understand its structure. Define the corresponding schema in Apache Iceberg that matches the data format from Retently. This will involve specifying the column names, data types, and any necessary transformations to align with Iceberg's schema requirements.

Use a script or a data processing tool (like a Python script utilizing Pandas, or a shell script with awk/sed for CSV) to transform the exported data into a format that aligns with the schema defined in Iceberg. This might involve data cleaning, type casting, and reformatting date fields to match the expected data types in Iceberg.

With the data transformed, write a script using a data processing engine that supports Iceberg (e.g., Apache Spark). This script should read the local file (CSV or JSON), apply the schema, and write the data to an Iceberg table. Ensure the script is configured to handle partitions and any other Iceberg-specific configurations required for optimal data storage and retrieval.

Once the data is loaded into the Iceberg table, perform verification checks. Use SQL queries through your data processing engine to count rows, check for data integrity, and ensure that all fields are correctly populated as per the schema definitions. Confirm that no data was lost or corrupted during the transfer.

If you need to regularly update the Iceberg tables with new data from Retently, set up a repeatable process. This can involve writing a script or a cron job that automates the steps of exporting, transforming, and loading data into Iceberg. Document the process clearly and test it to ensure that it runs smoothly without manual intervention.

By following these steps, you can successfully move data from Retently to Apache Iceberg using only native tools and processes, without relying on third-party connectors or integrations.