How to load data from Gutendex to S3 Glue

Learn how to use Airbyte to synchronize your Gutendex data into S3 Glue within minutes.

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Set up a Gutendex connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up S3 Glue for your extracted Gutendex data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Gutendex to S3 Glue in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Understand the Data Source (Gutendex)

Begin by examining the Gutendex API or data source. Gutendex typically provides a REST API that allows you to retrieve metadata and text of various books available on Project Gutenberg. Familiarize yourself with the API endpoints, response formats, and any authentication requirements.

Create an AWS Identity and Access Management (IAM) role that AWS Glue can assume. This role should have policies allowing it to read from the internet (Gutendex) and write to your S3 bucket. Ensure that the policy includes `AmazonS3FullAccess` and `AWSGlueServiceRole`.

Log in to your AWS Management Console and navigate to the S3 service. Create a new S3 bucket where you want to store the Gutendex data. Choose a unique bucket name and configure settings according to your use case, such as enabling versioning or encryption.

Although optional, setting up an AWS Glue Crawler can help in structuring the data once it is in S3. The crawler can infer the schema of the data and create a table in the AWS Glue Data Catalog. Define the data store as the S3 bucket you created and schedule the crawler to run periodically if needed.

Create an AWS Glue job to extract data from Gutendex and load it into your S3 bucket. Use Python or Scala scripts within AWS Glue:
- Start by writing a script to make HTTP requests to the Gutendex API.
- Parse the JSON responses and extract the required data fields.
- Transform the extracted data into a suitable format for storage, such as CSV or JSON lines.
- Use the `boto3` library to write the transformed data to your S3 bucket.

In the AWS Glue console, configure the job by specifying the script developed in the previous step. Assign the IAM role created earlier and choose the necessary Glue worker type and number of DPU (Data Processing Units). Execute the job and monitor its progress through the AWS Glue console.

Once the Glue job has completed, validate the data transfer by accessing your S3 bucket. Check the files to ensure they are correctly formatted and contain the expected data from Gutendex. You can also query the data using Amazon Athena if you have set up a Glue Crawler to create a Data Catalog.

By following these steps, you can successfully move data from Gutendex to S3 using AWS Glue, leveraging AWS services without third-party tools.