Part 3/13:

• Automation and Reliability: Automating pipelines reduces manual intervention, minimizes errors, and ensures consistent data delivery, supported by robust monitoring.

• Data Quality and Observability: Implementing validation at each stage fosters trust and prevents issues from escalating into critical business impacts.

• Version Control and Change Management: Structured processes for managing code and configurations facilitate collaboration, traceability, and system stability.

• Metadata and Data Lineage: Effective tracking of data origins, transformations, and destinations enhances governance and transparency.

• Security and Access Control: Strict role-based permissions and data masking ensure compliance and protect sensitive data.