Collibra Training Online

SKU: 1097
34 Lesson
|
36 Hours
igmGuru provides best Collibra training worldwide. Our program covers important key topics such as data cataloging, metadata management, workflows, data lineage, integration techniques and many more. The modules of our Collibra course is designed by industry experts, having 15+ years of experience. Enroll now in our training program to prepare for globally recognized official Collibra certifications.

Collibra Training Overview

Prerequisites

  • Basic understanding of data concepts
  • Experience with data tools or platforms
  • Comfort with web-based platforms and navigation

What Will You Learn

  • Importance of Data Governance
  • Integration with Other Tools
  • Navigating the Dashboard
  • Understanding Data Governance Concepts
  • Registering and Managing Data Sources
  • Using Catalog APIs
  • Visualizing Data Lineage in Collibra
  • Configuring Lineage Harvesters
  • Creating and Managing Policies
  • Real-time Synchronization Scenarios
  • Monitoring Data Governance KPIs

Who Should Take Collibra Training

  • Aspiring Data Governance Professionals
  • Data Stewards & Analysts
  • Business Intelligence & Data Management Practitioners
  • Data Governance Leaders
  • Students & Early-Career Engineers

Career Opportunities

  • Data Governance Consultant
  • Collibra Data Governance Engineer/Lead
  • Data Governance Manager
  • BI / Analytics Integrator

Salary

  • Data Governance Analyst: 7.6 LPA
  • Data Governance Consultant: 4.8 LPA to 40 LPA
  • Collibra Consultant: 10.7 LPA to 11.5 LPA
  • Collibra Data Governance Engineer / Lead: 31.4 LPA to 34.1 LPA (avg approximate 32.9 LPA)
  • Data Governance Manager: 13.5 LPA to 46.5 LPA

(Source: Indeed, AmbitionBox & Glassdoor)

Key Features

Collibra Certification Course Modules

1. Overview of data management and governance
2. The data lifecycle and its importance
3. Key concepts of data management and governance
4. Challenges and objectives in implementing effective data governance
5. Metadata Architetcure - patterns and use cases
6. Metadata Architetcure - implementation approaches
1. Understanding the data governance framework
2. Roles of people, processes, and technology in data governance
3. Data governance policies, procedures, and strategies
4. Establishing a data governance organization and stewardship model
5. Data Governance Organizations
6. Roles and Responsibilities within Data Governance Organization
7. How to implement and operationalize a Data Governance Stewardship Model
1. Metadata management fundamentals
2. Developing business glossaries and data dictionaries
3. Data classification rules and standards
4. Importance of data quality and its implementation dimensions
5. Data Quality Rules and Metrics
6. Benefits of Proper Data Classification
1. Product architecture
2. Navigating in the Console user interface
3. Getting Collibra DGC up and running
4. Unattended installation
5. Reinstall Collibra DGC 5.9.0
6. Uninstall Collibra
7. Collibra DGC service management, Troubleshooting, Overview build numbers, Component versions, Default ports
8. Implementing data lineage in Collibra
9. Differences between Collibra cloud and on-premises installations
10. Benefits of using different infrastructure
11. Procedures for setting up Collibra in various environments
12. Compliance and Privacy: Implementing data privacy regulations and compliance policies using Collibra's features.
1. Setting up Collibra
2. Installing Collibra in cloud
3. Installing Collibra on prems
4. Key consideration of installation. And process
5. Workflows and Automation: Using Collibra's tools to build and manage workflows that streamline data governance processes.
1. Introducing Edge
2. Migrating to Edge from Jobserver
3. Edge security, Edge tools, Installing an Edge site
4. Upgrading an Edge site, Edge connections, Edge capabilities, Maintaining Edge sites
5. Troubleshooting Edge
1. Collibra Data Intelligence Platform
2. Collibra Cloud Infrastructure overview
3. Data privacy and security
4. Access and authentication
5. Monitoring a Collibra cloud environment
6. Bring Your Own Key (BYOK)
7. Backup and recovery
8. Adding Edge or a Jobserver to Collibra Data Intelligence Platform
9. Email configuration for Collibra Data Intelligence Platform and Collibra Console
10. Upgrading Collibra cloud environments
11. Troubleshooting
12. Limitations
1. Collibra functionalities
2. Asset management
3. Importing and exporting
4. Diagrams
1. Collibra building blocks
2. Asset types
3. Assignments
4. Overview of characteristic types
5. Domain types
6. Asset statuses
7. Articulation score
8. Asset data quality
9. Validation rules
10. Scopes 
11. Workflows
12. Designing an operating model based on a scenario. Will be used for final evaluation of candidates on their understanding of concepts.
1. DGC service configuration
2. Configure the Search service
3. Jobserver service configuration
4. Service infrastructure configurations
5. Managing environments, Monitoring your Collibra Platform Self-Hosted environment, Node management, Back up and restore
6. Diagnostic files, Collibra Console settings, Troubleshooting, DGC service configuration settings
7. Spring cron syntax, Quartz cron syntax
1. About the extension
2. Get started with the extension
3. Add the extension to your browser
4. Preconfigure the extension
5. Configure the extension
6. Search via context menu
7. Auto-matching in the BI tools
1. Use of Collibra Console
2. Nodes and Logs in Collibra Console
3. Back-up settings in Collibra Console
4. Complete Operating Model in Collibra
5. Demo of an End-to-End Operating Model in Collibra
6. Collibra Desktop and 'On-the-Go'
7. Collibra On-the-Go
1. Collibra Data Lineage, Database Owners, BI and ETL Admins, and Collibra Admins
2. Business stewards, Technical stewards
3. Technical lineage troubleshooting, Lineage in Collibra
4. The benefit of lineage at an enterprise level
5. Lineage and how to use it in Collibra
6. Custom lineage view in Collibra and its benefits
1. Catalog basics, Registering a data source, Sample data, Quality extraction, Data Profiling
2. Data Classification, Guided Stewardship
3. Working with Azure Data Lake Storage
4. Integrating AI models
5. Catalog workflows
6. Catalog Troubleshooting
1. About Data Marketplace
2. Enable standalone Data Marketplace and set up Data Marketplace
3. The out-of-the-box Data Marketplace experience
4. Configuring Data Marketplace, Using Data Marketplace
5. Troubleshooting Data Marketplace
6. Add content to a notebook
1. Data Notebook use cases
2. Data Notebook permissions
3. Data sources for Data Notebook
4. Request Data Notebook access (beta)
5. Register a data source for Data Notebook
6. Set up a database for storing query results
7. Create a notebook
8. Connect to a data source in a notebook
9. Run a query in a notebook
10. Data Notebook asset
11. Explore a notebook, Manage a notebook, Notebook settings
1. Business Glossary
2. Out-of-the-box metamodel for Business Glossary
3. Metrics pages
1. Reference Data tabs
2. Out-of-the-box metamodel for the Reference Data application
3. Reference data
4. Reference data lifecycle
5. Approaches to reference data management
6. Map code values and crosswalks
7. Metrics pages Metrics pages
1. Assessments use cases
2. Open Assessments
3. Assessments out-of-the-box resources
4. Assessments API
5. Working with assessment templates and Working with assessments
1. Collibra AI Governance walk-through
2. Limitations
3. AI Governance out-of-the-box global roles and permissions
4. AI Governance operating model
5. Set up AI Governance
6. Open Collibra AI Governance
7. AI Governance landing page and submenu pages
8. The lifecycle of an AI use case
9. Configuring the AI Use Case asset type
10. Register an AI use case
11. Working with the Progress Tracker
12. Working with assessments
13. Working with AI models
1. Protect use cases
2. Protect essentials
3. Protect roles and permissions
4. Set up Protect
5. Register a custom data source for Protect
6. Open Protect
7. Protect groups
8. Data protection standards Data protection standards 
9. Data access rules Data access rules 
10. Data source policies (beta)
11. Data sources for Protect Data sources for Protect 
12. Protect audit (beta)
13. Resolving masking conflicts
14. Why certain standards and rules fail Why certain standards and rules fail 
15. Asset data protection
16. Protect
1. Installing Data Privacy
2. Upgrading Data Privacy
3. Preparation, Discovery, Governance
4. Managing security breaches
5. Builds
1. Builds
2. Installation, Connections, Core Concepts, Admin Configuration
3. Security Configuration, Integrations, Solutions, APIs, Architecture, Documentation Archive
1. Enable or disable the homepage
2. Homepage overview
3. Edit the homepage
4. Add a quick link
5. Edit a quick link
6. Rearrange a quick link
7. Delete a quick link
1. Open Usage Analytics
2. New Usage Analytics and Old Usage Analytics
1. Reporting data
2. Insights tables
3. Entity relationship diagram
4. Dashboard reports, Insights
1. Manage a dashboard
2. Dashboard widgets
3. Manage a widget
1. Out-of-the-box metamodel for the Data Helpdesk
2. Issue roles
3. Create a data issue
4. Tasks in the Issue Management workflow Tasks in the Issue Management workflow
5. Metrics pages Metrics pages
1. Workflows in Collibra
2. Automated workflows and their use
3. Out-of-the-box workflows in Collibra
4. What is Domain in Collibra?
5. Scope of customized BPMN workflows in Collibra
1. Start a global workflow
2. Start an asset workflow from an asset page
3. Start an asset workflow from an asset table or set of tiles
4. Working with tasks Working with tasks 
1. Data similarity Data similarity
2. Collibra AI for asset descriptions Collibra AI for asset descriptions
1. General settings page
2. Operating Model settings page
3. Roles and Permissions settings page
4. Managing workflows in Collibra
5. Users and Subscriptions settings page
6. Services configuration
7. Migration settings page
8. OAuth Applications settings page
9. Search settings
10. Replace the Collibra logo
11. Use a custom favicon
12. Benchmarks for performance optimization, View design best practices, Integrations best practices, Workflow best practices
13. Data import via API best practices, Data import of assets via UI best practices, Data export best practices
1. Assignment best practices, Community structure best practices, Domain structure best practices, Organizational concepts best practices
2. Users and groups best practices, Global and resource role best practices, Relation types best practices, Traceability diagrams best practices
3. Dashboard design best practices, Customizing asset types best practices, Number of custom asset types and statuses best practices
4. Custom relation types best practices, Operating model migration best practices, Notifications best practices
5. Logging best practices, Permissions, roles and licenses best practices (NEW)
6. My SQL Integration, AWS integration using Collibra Catalogue
1. Basics of integration, including APIs
2. What is Integration
3. Need for Integration
4. Benefits of Integration
5. API, API Concept in Collibra, Demonstration of API: Hands On in Collibra
6. Exercise using API in Collibra, REST API, Add Domain and Add Assets in Bulk in Collibra
7. Add attributes in Bulk in Collibra, Add Relations between assets in Bulk in Collibra, Add Comments and Reply to that Comment using APIs in Collibra
8. JAVA API, Introduction to Java API in Collibra, Request Object and Builders in Collibra
9. How to write scripts and add the sequence of parameters in Collibra?
10. Workflow in Using Java Objects and Java API
11. Creating A Groovy Script using add asset Java APIs in Collibra
12. How to Find all the interface and Object for Groovy script in Collibra?
13. Workflow to Add Asset inside data governance tool using Groovy Script Collibra
14. Creating Groovy Script for adding Assets in Bulk in Collibra
15. Workflow to Add Assets in Bulk using Groovy Script in Collibra
16. Collibra API Recap, Types of Integration, Different types of Integration
17. Snowflake Integration, Template structure and Template views in Collibra, Other Areas Best Practices for integration
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Course Fees

Collibra Training Online

US $ 3,199.00
Refund Policy
  • Duration : 36 hrs
  • Lifetime Free Upgrade
  • Reference Documents
  • 24x7 Support & Access

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  • Customized Training Delivery Model
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Want to know Today's Offer

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Collibra Certification Exams

Certification Names

Data Steward, Workflow Engineer, Integration Engineer, Data Quality Steward, Solution Architect

Exam Format

  • Duration: 60–90 minutes (varies by role)
  • Number of Questions: Typically 40–60, mix of multiple‑choice and scenario-based questions
  • Passing Score: Not publicly disclosed (likely between 70–80%)
  • Type: Role‑specific, focused on practical use of Collibra for stewardship, workflows, API/integration, data quality, or architecting
  • Mode: Online proctored via Collibra University platform (global access)

Exam Requirement

6+ months of experience in related field.

Collibra Certification Exams

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