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• Reference Architecture:

  • This section provides a bird's eye view of the Data Ocean solution.

  • Get insights into the reference architecture of the Data Ocean.

  • Understand the high-level block architecture diagram, the components involved, and their interactions.

• Components and Functionality: - Closed for public - questões teoricas e decisões!!

  • Explore detailed information about each component of the Data Ocean, its purpose, benefits, and implementation details.

  • Learn about key functionalities such as ...

  • ex: lakehouse SCD, Provisioning,....
  • separação por dominios e partilha de dados via view (datasets/schemas/DB)
  • Methodology and Best Practices:

    • Discover the methodology and best practices for implementing and utilizing the Data Ocean solution.

    • Gain insights into data extraction from various sources, data modeling techniques, data curation strategies, and job scheduling methodologies.

• Data Ocean Approach 
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• Technical Implementation

  • Learn about the platform-specific considerations when implementing the Data Ocean on GCP (Google Cloud Platform).

  • Explore storage management techniques, environment definitions, group and access security measures, and other relevant details.

  • groups and views (detalhe especificos), Terraform, MD5 hash, chave unica, system id, s

• • The Data Ocean Reference Architecture is structured around a layered approach for efficient data processing across business units.
  • Data flows through distinct stages, starting with the Raw Data (Ingestion) Layer, progressing to Normalized Data (Staging), and then to Curated Data (Cleansed) Layer.
  • The architecture embraces Domain-Driven Design, with nine core business domains such as HR, Finance, and Marketing, each responsible for specific data functions.
  • Use-Case Oriented Layers build on curated data, providing specialized insights, while security measures ensure data integrity and controlled access

  Documentation and Resources:

  • Access technical documents, source/target mappings, data dictionaries, and other helpful resources related to the Data Ocean solution.

• Contact and Support:

  • Find contact information, report issues, and learn about available support channels for the Data Ocean.

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