Databricks Data Governance & Lakehouse with Unity Catalog Course in Chennai

825 Ratings

Master modern data governance and secure data management with Edubrights’ Databricks Data Governance & Lakehouse with Unity Catalog Training in Chennai. This course is designed for data engineers, data architects, cloud professionals, governance specialists, analytics teams, and working professionals who want to implement enterprise-grade governance within the Databricks Lakehouse Platform.

Gain hands-on experience in Unity Catalog, data governance frameworks, access control, data lineage, metadata management, compliance, auditing, and secure data sharing while working on real-world enterprise data governance projects.

Key Highlights:

✅ Real-Time Data Governance Projects & Enterprise Use Cases

✅ Live Instructor-Led Training by Databricks & Governance Experts

✅ Hands-On Training with Unity Catalog & Lakehouse Architecture

✅ Centralized Data Governance & Metadata Management

✅ Fine-Grained Access Control & Data Security Implementation

✅ Data Lineage Tracking, Auditing & Compliance Monitoring

✅ Secure Data Sharing & Cross-Workspace Governance

✅ Data Discovery, Cataloging & Asset Management Techniques

✅ Governance Best Practices for Analytics & AI Workloads

✅ Data Privacy, Regulatory Compliance & Risk Management

✅ Resume Building, Portfolio Development & Mock Interview Preparation

✅ Databricks Certification Guidance & Career Support

✅ Placement Assistance for Data Governance & Architecture Roles

✅ Flexible Online, Classroom & Weekend Training Options

✅ Corporate Training for Enterprise Data Management Teams

Develop expertise in modern data governance and become industry-ready to manage, secure, and govern enterprise data assets using Databricks Lakehouse and Unity Catalog.

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₹30000

₹42000

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Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1. Understand Modern Data Governance Principles

Learn the fundamentals of data governance, including data ownership, security, compliance, quality management, and enterprise data policies.

2. Master Databricks Lakehouse Architecture

Gain a comprehensive understanding of the Lakehouse architecture and how it combines the flexibility of data lakes with the performance of data warehouses.

3. Implement Unity Catalog for Centralized Governance

Learn how to use Unity Catalog to manage data assets, permissions, metadata, and access controls across the Databricks environment.

4. Ensure Data Security and Regulatory Compliance

Develop the skills required to protect sensitive data, enforce governance policies, and meet industry compliance standards.

5. Manage Enterprise Data Assets Efficiently

Understand how to organize, classify, discover, and govern data assets throughout their lifecycle.

Popular Techniques Covered in This Course

1. Unity Catalog Administration

2. Data Access Control Management

3. Metadata Management

4. Lakehouse Architecture Design

5. Data Lineage Tracking

6. Data Governance Framework Implementation

7. Regulatory Compliance Management

8. Data Quality Monitoring

9. Secure Data Sharing

10. Data Auditing and Monitoring

Get Hands-on Knowledge about Real-Time Projects

Project 1

1. Enterprise Data Governance Framework Implementation

Build a centralized governance solution that defines data ownership, access policies, security controls, and compliance standards across multiple business departments.

Project 2

2. Unity Catalog Access Management System

Develop a governance project that manages user permissions, role-based access controls, and secure access to sensitive enterprise datasets.

Project 3

3. Financial Data Compliance Platform

Create a governance framework that ensures secure handling of financial data while meeting regulatory and audit requirements.

Project 4

4. Healthcare Data Governance Solution

Design a governed Lakehouse environment that protects patient information, tracks data lineage, and supports compliance with healthcare regulations.

Project 5

5. Enterprise Data Discovery and Lineage Project

Implement metadata management and lineage tracking capabilities that improve data transparency, trust, and business collaboration.

Key Features

Edubrights offers Databricks Data Governance & Lakehouse with Unity Catalog Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Data Governance Fundamentals

Why governance matters: DPDP Act 2023 and RBI data localisation requirements
Data governance pillars: ownership, lineage, quality, and access control
Databricks governance architecture: metastore, catalog, schema, and table hierarchy
Comparing legacy Hive metastore with Unity Catalog: migration considerations

Module 2: Unity Catalog Setup & Administration

Metastore creation: attaching Unity Catalog to Databricks workspaces across regions
Account admin vs workspace admin vs data steward roles: least-privilege design
Catalog and schema provisioning: organizing data for Indian business units
Storage credentials and external locations: securely connecting to S3 and ADLS Gen2

Module 3: Access Control & Permissions

GRANT and REVOKE syntax: table, column, and row-level security patterns
Dynamic data masking: hiding Aadhaar and PAN numbers from non-privileged users
Row filters: restricting analysts to only their assigned regional data
Service principal management: machine-to-machine access for automated pipelines

Module 4: Data Lineage & Discovery

Automated lineage tracking: visualising data flow from raw ingestion to dashboard
Column-level lineage: tracing how a KPI is calculated across transformation steps
Data catalog search: enabling self-service discovery for 200+ analyst teams
Tagging and annotations: business glossary integration for Indian BFSI terminology

Module 5: Data Quality & Observability

Defining quality rules: freshness, completeness, and uniqueness constraints
Delta Live Tables expectations: enforcing quality within ingestion pipelines
Anomaly alerting: detecting sudden drops in daily transaction volumes
Data SLA reporting: dashboards for data platform reliability metrics

Module 6: Compliance, Auditing & Security

Audit log analysis: querying Unity Catalog audit events for compliance review
GDPR and DPDP Act alignment: implementing right-to-erasure workflows in Delta
Encryption at rest and in transit: Databricks security model for sensitive PII
Network security: private endpoints and IP access lists for banking workloads

Module 7: Multi-Workspace & Multi-Cloud Governance

Federated metastore: sharing datasets across dev, staging, and production workspaces
Cross-cloud governance: consistent policies on AWS, Azure, and GCP Databricks
Delta Sharing: secure data exchange with partner organisations and regulators
Cost attribution: chargeback reporting by team and project using Unity Catalog tags

Module 8: Implementation Blueprint & Capstone

Governance maturity model: assessing and improving your organisation's data posture
Capstone: designing Unity Catalog governance for a 3-tier Indian NBFC data platform
Migration workshop: moving legacy Hive metastore tables to Unity Catalog safely
Exam prep: governance-focused questions for Databricks certification exams

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Learn from Databricks-certified data engineers and ML engineers who have built production lakehouse platforms, Delta Live Tables pipelines, and ML workflows on Databricks for data-driven enterprises.

Backgrounds at the Top Our Databricks trainers have delivered data platform projects at technology companies, financial services firms, and healthcare organisations where Databricks is the central platform for data engineering and machine learning.

Clear & Effective Teaching Databricks architecture, Spark DataFrames, Delta Lake, Databricks SQL, MLflow, Delta Live Tables, Unity Catalog, and governance are explained clearly with real lakehouse data platform examples.

Hands-On Learning Focus Students build end-to-end lakehouse pipelines, work with Delta tables, create DLT pipelines, track ML experiments with MLflow, and configure Unity Catalog governance through structured lab exercises.

Up-to-Date Knowledge Trainers keep content current with the latest Databricks platform releases, Databricks AI and GenAI capabilities, Unity Catalog enhancements, and evolving lakehouse architecture best practices.

Certified Databricks Data Governance & Unity Catalog Professional

Our institution offers a recognized Databricks Data Governance & Lakehouse with Unity Catalog certification that validates your ability to design and prototype professional user interfaces efficiently. This certification enhances your design portfolio and prepares you for collaborative projects in real-world environments. Gain practical skills through hands-on training and assessments.

Course FAQs

1. What is Databricks Data Governance?

Databricks Data Governance refers to the processes, policies, and technologies used to manage data security, quality, compliance, and accessibility across the Databricks platform.

2. What is Unity Catalog?

3. Who should enroll in this course?

4. What is a Lakehouse architecture?

A Lakehouse architecture combines the scalability of data lakes with the management and performance features of traditional data warehouses.

5. Why is data governance important?

Data governance ensures data quality, security, compliance, consistency, and trust, enabling organizations to make reliable business decisions.

6. Does Unity Catalog support access control?

Yes. Unity Catalog provides centralized role-based access control and permission management for data assets across Databricks workspaces.

7. What is data lineage?

Data lineage tracks the origin, movement, transformation, and usage of data throughout its lifecycle, improving transparency and accountability.

8. Will I learn data security best practices?

Yes. The course covers data security, access controls, encryption concepts, auditing, and governance frameworks.

9. What industries benefit from data governance?

Industries such as banking, healthcare, insurance, retail, telecommunications, manufacturing, and government organizations rely heavily on data governance.

10. Does the course cover compliance requirements?

Yes. Learners will understand governance strategies that support compliance with industry regulations and data protection requirements.

11. What is metadata management?

Metadata management involves organizing, documenting, and maintaining information about data assets to improve discoverability and governance.

12. Can Unity Catalog support data sharing?

Yes. Unity Catalog enables secure and governed data sharing across teams, business units, and external organizations.

13. What job opportunities are available after this course?

Career opportunities include Data Governance Analyst, Data Steward, Data Architect, Governance Manager, Cloud Data Administrator, and Compliance Specialist.

14. Are practical projects included in the training?

Yes. The course includes hands-on projects involving governance frameworks, access management, metadata management, and lineage tracking.

15. How does Unity Catalog improve enterprise data management?

Unity Catalog centralizes governance, simplifies access management, enhances data discovery, and improves security across enterprise data environments.