Enterprise Data Governance & Compliance

Tailored for Data Stewards and Compliance Officers, this certification bridges the critical gap between powerful artificial intelligence workflows and strict global data regulations. Participants will master the "Security and Governance" layers of the modern Lakehouse, learning how to configure advanced Data Profilers and automated Data Discovery & Classifier engines to effortlessly hunt down and tag hidden, sensitive attributes. Through deep-dive modules on metadata management, tracking crystal-clear data lineage, and optimizing enterprise-wide data catalog searches , you will walk away with a repeatable blueprint to enforce corporate safety, verify data origin, and protect data privacy without stifling innovation.

Instructor-Led

20 hours

4 modules

Recommended Course Audience

Data Stewards Compliance Officers Data Governance Managers.

Pre-Required Skills

Experience: 2+ years of experience in Data Governance, Data Privacy, Compliance Auditing, or IT Risk Management.
Core Technical Skills: Non-technical. Comfort with business analytics interfaces and a solid understanding of data regulations (such as GDPR, HIPAA, or the EU AI Act).
Systems Exposure: Understanding of what a corporate data catalog is and how user permissions/access controls function conceptually.

Course Highlights

4 modules

Deep dive into the central Security / Governance framework of the Data Lakehouse architecture. Deploying the Data Profiler engine to scan, analyze, and catalog unmapped database endpoints automatically. Registering technical metadata schemas and managing metadata population pipelines. Assigning custom tags and administrative classifications to data objects upon ingestion.n.

Configuring the Data Discovery & Classifier engine for cross-enterprise data sweeping. Utilizing machine learning classification rules to automatically flag Personally Identifiable Information (PII), HIPAA data, and GDPR-regulated strings. Handling sensitive text inside unstructured file dumps (emails, PDFs, images). Setting up automated tagging policies to isolate restricted corporate data fields.

Monitoring ongoing Data Quality & Management parameters across distributed cloud pipelines. Deploying Data Lineage & Visualization tools to build graphical audit trails. Tracking the Digital Thread of a data asset from its initial source capture through ingestion layers down to final consumption. Identifying data anomalies, transmission failures, and quality degradation points in real time.

Structuring a centralized Data Catalog to act as the single source of truth for all enterprise consumers. Configuring Catalog Search & Query functionalities across complex multi-cloud and hybrid environments. Managing system usage analytics: Monitoring who accesses datasets, when, and for what purpose. Setting up governance guardrails to restrict unauthorized search queries on hidden classifications.

$699.00

This course is coming soon. Enrollment is not yet open.

Level : Intermediate

Modules : 4

Duration : 20 hours