cloud-foundation-fabric/data-solutions
Julio Castillo cb7c65135e
Update CI processes (#296)
- Upgrade to latest terraform version (1.0.4)
- Remove tflint from linting pipeline (was not doing anything)
- Add terraform fmt check to linting pipeline
- Pass all code through terraform fmt
2021-08-12 17:30:53 +02:00
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cmek-via-centralized-kms Update copyright to 2021 2021-02-15 09:38:10 +01:00
data-platform-foundations Update CI processes (#296) 2021-08-12 17:30:53 +02:00
gcs-to-bq-with-dataflow Move `bq` robot service account into the robot service account project output (#262) 2021-06-11 13:02:30 +02:00
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.