How to load data from Lokalise to S3 Glue
Learn how to use Airbyte to synchronize your Lokalise data into S3 Glue within minutes.
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How to Sync to Manually
Step 1: Export Data from Lokalise
Begin by exporting the data from Lokalise in a suitable format such as CSV or JSON. Log in to your Lokalise account, navigate to the project that contains the data you want to export, and use the export feature to download the files to your local system. Ensure that you choose a format that is compatible with AWS Glue.
Step 2: Set Up an AWS S3 Bucket
Log into your AWS account and navigate to the S3 service. Create a new bucket where you will store the Lokalise data files. Choose a unique name for the bucket and configure the necessary permissions to ensure only authorized users have access.
Step 3: Upload Data to S3
Upload the exported Lokalise files to the newly created S3 bucket. You can do this using the AWS Management Console by navigating to your bucket and using the "Upload" feature, or by using the AWS CLI with the `aws s3 cp` command. Ensure that the files are placed in the correct directory structure if you plan to use specific S3 prefixes.
Step 4: Configure AWS Glue Crawler
Set up an AWS Glue Crawler to catalog the data stored in your S3 bucket. Go to the AWS Glue console and create a new crawler. Define the data source as your S3 bucket and specify the IAM role with the necessary permissions. Configure the crawler to run on demand or on a schedule as needed.
Step 5: Run the Glue Crawler
Execute the AWS Glue Crawler to automatically discover the schema and create a table in the AWS Glue Data Catalog. This step is crucial for AWS Glue to understand the structure of your data and make it available for ETL operations.
Step 6: Create an AWS Glue ETL Job
In the AWS Glue console, create a new ETL job. Define the source as the table generated by the crawler and specify the target destination (another S3 bucket or database). Configure the job script to transform the data if needed, using either the Glue provided code editor or by uploading a Python or Scala script.
Step 7: Run and Monitor the ETL Job
Execute the AWS Glue ETL job to process the data. Monitor the job's progress through the AWS Glue console to ensure that it completes successfully. Check the output location to verify that the data has been transformed and stored as expected.
Following these steps will allow you to move data from Lokalise to AWS S3 and use AWS Glue for processing without relying on third-party connectors or integrations.