Governance and performance requirements

Governance in Big Data refers to the policies, procedures, and standards that ensure data is managed, protected, and used effectively and ethically. It covers various aspects of data handling and management to maintain its quality, security, privacy, and compliance with regulations.

Effective governance is essential to ensure that Big Data can be trusted, properly analyzed, and used for decision-making, while meeting legal and regulatory standards.

• Data Quality: Ensuring data is accurate, consistent, and up-to-date.
• Data Security: Protecting data from unauthorized access or breaches.
• Data Privacy: Ensuring that personal data is handled in compliance with privacy laws.
• Compliance: Following legal and industry regulations regarding data storage and processing.
• Data Ownership: Defining who is responsible for the data and who can access or use it.
• Data Provenance: Tracking the origins and history of data to ensure transparency and reliability.

Performance requirements in Big Data refer to the expectations for how well Big Data systems should perform in terms of speed, scalability, reliability, and efficiency.

To derive valuable insights from Big Data, systems must meet these performance requirements. Poor performance can lead to slow data processing, delays in decisionmaking, and missed opportunities.