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Add Data Platform Foundations description to the data-solutions README file

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Yoram Ben-Yaacov 2021-05-18 20:00:45 +03:00
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@ -14,3 +14,10 @@ They are meant to be used as minimal but complete starting points to create actu
### Cloud Storage to Bigquery with Cloud Dataflow
<a href="./gcs-to-bq-with-dataflow/" title="Cloud Storage to Bigquery with Cloud Dataflow"><img src="./gcs-to-bq-with-dataflow/diagram.png" align="left" width="280px"></a> This [example](./gcs-to-bq-with-dataflow/) implements [Cloud Storage](https://cloud.google.com/kms/docs/cmek) 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.
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### Data Platform Foundations
<a href="./data-platform-foundations/" title="Data Platform Foundations"><img src="./data-platform-foundations/img/Data_Foundation-phase2.png" align="left" width="280px"></a>
This [example](./data-platform-foundations/) implements a **robust and flexible** Data Foundation on GCP that provides **opinionated defaults** while allowing customers to **build and scale** out additional data pipelines **quickly and reliably**.
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