oci-arch-data-science-health-care

Oracle Cloud Infrastructure Data Science (OCI) Data Science is a fully managed, serverless platform for data science teams to build, train, and manage machine learning models.

This flexible architecture supports multiple scenarios across integrated health networks based on Oracle Machine Learning service, combining Autonomous Data Warehouse and Data Science platforms.

In addition to Data Science and Autonomous Data Warehouse, this architecture also uses Data Catalog, Oracle APEX Application Development, and Oracle Analytics Cloud. It also uses OCI Compute instances to host applications that can dynamically stream wearable device data to either Autonomous Data Warehouse or Object Storage. This architecture serves multiple purposes, including storing important data in secure, reliable, and quick-retrieval storage, and building and deploying the applications and machine learning modules in short periods of time.

For details of the architecture, see Data Science Service: Health care use cases

Prerequisites

• Permission to manage the following types of resources in your Oracle Cloud Infrastructure tenancy: vcns, internet-gateways, route-tables, security-lists, subnets, autonomous-database-family, and instances.

• Quota to create the following resources: 1 VCN, 2 subnets, 1 Internet Gateway, 1 NAT Gateway, 2 route rules, 1 DRG, 1 Load Balancer, 1 ADW database instance, 1 DataCatalog instance, 1 DataScience Instance, 1 ObjectStorage Bucket, 1 Oracle Analytics Cloud (OAC) instance, and 4 compute instances (User Application VMs and Bastion VM).

If you don't have the required permissions and quota, contact your tenancy administrator. See Policy Reference, Service Limits, Compartment Quotas.

Deploy Using Oracle Resource Manager

1. Click

   If you aren't already signed in, when prompted, enter the tenancy and user credentials.

2. Review and accept the terms and conditions.

3. Select the region where you want to deploy the stack.

4. Follow the on-screen prompts and instructions to create the stack.

5. After creating the stack, click Terraform Actions, and select Plan.

6. Wait for the job to be completed, and review the plan.

   To make any changes, return to the Stack Details page, click Edit Stack, and make the required changes. Then, run the Plan action again.

7. If no further changes are necessary, return to the Stack Details page, click Terraform Actions, and select Apply.

Deploy Using the Terraform CLI

Clone the Module

Now, you'll want a local copy of this repo. You can make that with the commands:

git clone https://github.com/oracle-quickstart/oci-arch-data-science-health-care
cd oci-arch-data-science-health-care
ls

Prerequisites

First off, you'll need to do some pre-deploy setup. That's all detailed here.

Secondly, create a terraform.tfvars file and populate with the following information:

# Authentication
tenancy_ocid         = "<tenancy_ocid>"
user_ocid            = "<user_ocid>"
fingerprint          = "<finger_print>"
private_key_path     = "<pem_private_key_path>"

# Availablity Domain 
availablity_domain_name = "<availablity_domain_name>"

# Region
region = "<oci_region>"

# Compartment
compartment_ocid = "<compartment_ocid>"

# Autonomous Data Warehouse
autonomous_database_admin_password = "<enter-password-here>"

# Oracle Analytics Cloud
analytics_instance_capacity_capacity_type = "<enter_capacity_type_here>"
analytics_instance_capacity_capacity_value = "<enter_capacity_value_here>"
analytics_instance_feature_set = "<enter_feature_set_here>"
analytics_instance_license_type = "<enter_license_type_here>"
analytics_instance_name = "<enter_OAC_instance_name_here>"
analytics_instance_idcs_access_token = "<insert_user_IDCS_token_here>"

Create the Resources

Run the following commands:

terraform init
terraform plan
terraform apply

Destroy the Deployment

When you no longer need the deployment, you can run this command to destroy the resources:

terraform destroy

Architecture Diagram