Fairytales of Oracle Analytics Cloud (OAC)

Oracle Analytics Cloud subscription

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  • Explore and Collaborate Analytics, requires subscription [Enterprise | Professional] Editions
  • Sizing Options [ Oracle Compute Units (OCPUs)  | Per Users ]
  • User Management: either [Identity Domains: provided in OCI account | The Oracle Identity Cloud Service (OICS)] depending on the region. Grant permissions
  • Access Endpoint [ Public | Private ] static
  • Manage Services (Create, Verify)
Oracle Analytics Cloud LifeCycle
Oracle Analytics Cloud LifeCycle
  • Data Connect: unify data feeds [ Databases/warehouses/semi-structured CSV/Excel] under one source, including JDBC (Java Database Connectivity)
  • Data Preparation: use various techniques [ ML | Missing Data | Balancing | Transformation…  etc.] to sanitize and prepare data for Data Scientists  
  • Data Modeling: Develop semantic models to align business with business objectives, source of truth
  • Data Exploration: Visualization and discovery from different sources mobiles, on-premise, or cloud. Use of Subject matter expertise to connect with end users 
  • Data Sharing: collaborating small teams within the organization and automate information delivery of analytics and enable monitoring
  • Application consumption: Developers of mobile/Web Apps can integrate and consume analytic experience within application flow
OAC Capabilities
  1. Acquire Oracle Cloud Account
  2. Identify Service requirements
  3. Organize the platform : Compartments and Users
  4. Create Analytics Cloud Instance (Service) [ Console | REST API | CL ]
    OCI->Analytics & AI -> Analytics Cloud ->Instances -> Create Instance
  5. Setup Users/Roles to the service
  6. Verify and Sign in to the service
  7. Operationalize OAC! [ Maintenance | Service Options | Migration]

Dashboards

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