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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.
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Explore detailed information about each component of the Data Ocean, its purpose, benefits, and implementation details.
Learn about key functionalities such as ...
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.
- 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 ImplementationCurrent 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
Access technical documents, source/target mappings, data dictionaries, and other helpful resources related to the Data Ocean solution.
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