Empower your Jira data in a data lake with Amazon AppFlow and AWS Glue
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This article demonstrates how to build an automated data ingestion pipeline that synchronizes Jira Cloud data into an AWS data lake using Amazon AppFlow and AWS Glue.
- Amazon AppFlow retrieves Jira data with full and incremental downloads to S3
- AWS Step Functions orchestrates ETL workflows triggered by new S3 data arrivals
- AWS Glue crawlers catalog raw Jira data into a single table
- AWS Glue DataBrew unpacks JSON fields and removes obsolete records for analytics
- Solution is serverless, low-code, and supports incremental loading for cost optimization
- Transformed data available for querying via Athena, QuickSight, and Redshift Spectrum
- Setup uses CloudFormation for initial resource provisioning and configuration
This solution enables organizations to enrich Jira project data with other business data and power BI/AI/ML applications through a fully automated, serverless data pipeline.
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