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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.

  • Approach/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: - 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)

  • 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

  • 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.

  • 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.

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