Data platforms now sit at the centre of regulated activity. Customer, patient, employee and financial records move through ingestion pipelines, warehouses, lakes and enterprise resource planning systems, and each copy carries obligations about purpose, access, accuracy, retention and security. Organisations that treat these obligations as paperwork for the legal team discover the gaps only when a breach, an audit or a regulator request exposes them.

The Policy and Regulatory Frameworks for Data Engineering, Databases & ERP Data Training Course teaches technical staff and governance staff to work from the same playbook. Early days cover the regulatory and policy landscape in plain terms and show how to translate it into data classification, ownership, retention schedules and control requirements. Middle days examine database and pipeline design choices that make compliance easier, such as minimisation at ingestion, pseudonymisation, tokenisation, fine-grained permissions and immutable logging. The later days turn to ERP specifics including segregation of duties, master data governance, financial record integrity, change control and audit evidence.

Work proceeds through policy drafting clinics, hands-on database labs, pipeline reviews and audit simulations. Participants complete an integrated project that produces a policy set, control matrix and evidence plan for a sample data platform. National law varies, so participants practise mapping any requirement to technical controls.

By the end of the course, participants will be able to:

• Interpret data protection, records, security and financial control requirements for data platforms.
• Draft data governance policies covering classification, ownership, retention and sharing.
• Translate policy statements into technical controls in databases and pipelines.
• Implement role-based access, masking, encryption and audit logging.
• Design data lineage, quality rules and metadata that support accountability.
• Handle erasure, access and correction requests across copies and backups.
• Apply segregation of duties and master data governance in ERP environments.
• Prepare evidence and respond to internal and external audits.

The programme is designed for people who design, run, govern or audit data platforms, including:

• Data engineers and analytics engineers
• Database administrators and architects
• ERP administrators, functional consultants and systems analysts
• Data governance and data quality managers
• Data protection officers and compliance officers
• IT auditors and internal auditors
• Solution and enterprise architects
• Heads of IT in banks, government agencies, telecoms and utilities

Participants leave the course with:

• A data governance policy set with classification and retention schedules.
• A control matrix linking each requirement to a database or pipeline control.
• Working examples of masking, access roles and audit logging.
• A procedure for deletion and access requests across systems and backups.
• An ERP segregation of duties and master data checklist.
• An audit evidence plan for a sample data platform.

The programme joins governance thinking to technical practice. Participants work through:

• Policy drafting clinics using realistic organisational scenarios
• Hands-on labs in relational databases and sample pipelines
• Review of ERP role matrices and master data examples
• Audit role plays with mock evidence requests
• A ten-day integrated project assessed by trainers

Vision Reach Global Consultancy grants a CPD-accredited Certificate of Completion to participants who attend the ten days and complete the labs and integrated project.