History

Ludovico Magnocavallo f6775aca1b Use the same versions file everywhere, pin to tf 1.0+ provider 4.0+ (#355 ) * add default versions file, remove old providers and versions * use default versions file everywhere * fix kms module * re-add provider configuration for data platform step 2 * update kms module outputs sorting * update kms documentation * fix data solutions tests * fix GKE workload identity attribute name * work around firewall provider issue in datafusion example		2021-11-03 15:05:43 +01:00
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cmek-via-centralized-kms	Use the same versions file everywhere, pin to tf 1.0+ provider 4.0+ (#355 )	2021-11-03 15:05:43 +01:00
data-platform-foundations	Use the same versions file everywhere, pin to tf 1.0+ provider 4.0+ (#355 )	2021-11-03 15:05:43 +01:00
gcs-to-bq-with-dataflow	Use the same versions file everywhere, pin to tf 1.0+ provider 4.0+ (#355 )	2021-11-03 15:05:43 +01:00
README.md	Folders rename	2021-06-15 16:12:20 +03:00

README.md

GCP Data Services examples

The examples in this folder implement typical data service topologies and end-to-end scenarios, that allow testing specific features like Cloud KMS to encrypt your data, or VPC-SC to mitigate data exfiltration.

They are meant to be used as minimal but complete starting points to create actual infrastructure, and as playgrounds to experiment with specific Google Cloud features.

Examples

GCE and GCS CMEK via centralized Cloud KMS

This example implements CMEK for GCS and GCE, via keys hosted in KMS running in a centralized project. The example shows the basic resources and permissions for the typical use case of application projects implementing encryption at rest via a centrally managed KMS service.

Cloud Storage to Bigquery with Cloud Dataflow

This example implements Cloud Storage to Bigquery data import using Cloud Dataflow. All resources use CMEK hosted in Cloud KMS running in a centralized project. The example shows the basic resources and permissions for the typical use case to read, transform and import data from Cloud Storage to Bigquery.

Data Platform Foundations

This example implements a robust and flexible Data Foundation on GCP that provides opinionated defaults, allowing customers to build and scale out additional data pipelines quickly and reliably.