Releases: snowplow/quickstart-examples
23.07
This release brings Azure Open Source to the quick-start with a quick and easy way to get an end-2-end pipeline running on top of Azure and loading into SnowflakeDB.
For further details checkout the release post: https://snowplow.io/blog/announcing-open-source-azure-support/
22.01 Western Ghats (Patch.6)
This is a fairly major refactor of the AWS quick-start which brings several security fixes, deprecation fixes and adds support for Redshift and Databricks (and a simplified flow for Snowflake).
- You can now deploy all available destinations concurrently if you want to be able to test and evaluate everything available.
- AWS S3 Bad Loader now correctly partitions data for use with Athena queries
- All EC2 deployments now enforce the use of IMDSv2
- All EC2 deployments now use Launch Templates instead of Launch Configurations
- All AWS services are given a far larger memory share to ensure better through-put and performance with small instance types
- All AWS default instance types have been moved to the
t3a
family to achieve ~10% reduction in run costs for EC2
Tickets
Extend .gitignore to allow for local testing (#58)
Refactor aws/pipeline module to support more destinations (#56)
Remove aws/snowflake module as deprecated (#59)
Add support for Redshift & Databricks to aws/pipeline module (#57)
Update aws/iglu_server modules to use latest versions (#55)
Update aws/pipeline modules to use latest versions (#61)
22.01 Western Ghats (Patch.5)
Add ability to define name of GCS BigQuery dead-letter bucket independently (#49)
22.01 Western Ghats (Patch.4)
Bump google iglu-server-ce module to version v0.3.2 (#47)
22.01 Western Ghats (Patch.3)
Add ability to load into BigQuery from GCP Quickstart Examples (#43)
22.01 Western Ghats (Patch.2)
22.01 Western Ghats (Patch.1)
22.01 Western Ghats
This release matches the recommended component versions in Snowplow OS Distribution 22.01 Western Ghats