Introduction:

Welcome to the Data Ocean Confluence page!

This page serves as a central hub for all information related to the Data Ocean analytical solution.

The Data Ocean aims to provide a solid foundation that should enable Solvay and the business units to effectively utilize data, harness its full potential, and empower teams to driving insights and well-informed decision-making, supported on quality data.

Key Sections:

• Data Ocean Vision
  • This section positions Data Ocean as a transformative approach to data management, enabling the organization to leverage data for innovation, informed decision-making, and a competitive edge.
  • It's main drivers: Empowering data-driven culture, unified data ecosystem, scalable infrastructure.
  • Key elements: Data governance and security, advanced analytics and insights, democratization of data.

• Data Ocean Overview and Benefits:

  • Explore the high-level overview of the Data Ocean solution, its justification, advantages, and benefits for the organization.
  • Understand how it can capitalize data analytics and drive better business outcomes.

• 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: 

  • 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.

    
    

• 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

• 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.

We hope this page may provide valuable information and can serve as a comprehensive resource for understanding and utilizing the Data Ocean analytical solution.

Feel free to navigate through the different sections to explore specific topics of interest.