Visit This Web URL https://masterytrail.com/product/accredited-expert-level-ibm-watson-data-catalog-advanced-video-course Lesson 1: Introduction to IBM Watson Data Catalog
1.1. Overview of IBM Watson Data Catalog
1.2. Key Features and Benefits
1.3. Use Cases and Industry Applications
1.4. Setting Up Your Environment
1.5. Navigating the Watson Data Catalog Interface
1.6. Understanding the Dashboard
1.7. Basic Terminology and Concepts
1.8. Integration with Other IBM Tools
1.9. Security and Compliance Overview
1.10. Hands-On: First Look at the Interface
Lesson 2: Data Governance Fundamentals
2.1. Importance of Data Governance
2.2. Data Governance Frameworks
2.3. Roles and Responsibilities in Data Governance
2.4. Data Quality Management
2.5. Metadata Management
2.6. Data Lineage and Impact Analysis
2.7. Data Policy and Compliance
2.8. Data Stewardship Best Practices
2.9. Implementing Data Governance with Watson Data Catalog
2.10. Case Study: Successful Data Governance Implementation
Lesson 3: Metadata Management
3.1. Understanding Metadata
3.2. Types of Metadata
3.3. Metadata Capture and Storage
3.4. Metadata Cataloging
3.5. Metadata Search and Discovery
3.6. Metadata Enrichment
3.7. Metadata Versioning
3.8. Metadata Governance
3.9. Integrating Metadata with Data Lineage
3.10. Hands-On: Creating and Managing Metadata
Lesson 4: Data Lineage and Impact Analysis
4.1. Introduction to Data Lineage
4.2. Importance of Data Lineage
4.3. Data Lineage Visualization
4.4. Impact Analysis Techniques
4.5. Automating Data Lineage
4.6. Data Lineage in Compliance and Auditing
4.7. Data Lineage for Data Quality Improvement
4.8. Data Lineage for Root Cause Analysis
4.9. Integrating Data Lineage with Metadata
4.10. Hands-On: Building Data Lineage Reports
Lesson 5: Data Quality Management
5.1. Understanding Data Quality
5.2. Data Quality Dimensions
5.3. Data Quality Assessment
5.4. Data Profiling Techniques
5.5. Data Cleansing and Standardization
5.6. Data Quality Monitoring
5.7. Data Quality Improvement Strategies
5.8. Data Quality in Data Governance
5.9. Data Quality Tools and Technologies
5.10. Hands-On: Implementing Data Quality Rules
Lesson 6: Data Cataloging and Discovery
6.1. Introduction to Data Cataloging
6.2. Importance of Data Cataloging
6.3. Data Cataloging Techniques
6.4. Automated Data Cataloging
6.5. Data Discovery and Search
6.6. Enhancing Data Discovery with AI
6.7. Data Cataloging for Data Governance
6.8. Data Cataloging for Data Quality
6.9. Data Cataloging for Data Lineage
6.10. Hands-On: Cataloging and Discovering Data
Lesson 7: Data Policy and Compliance
7.1. Understanding Data Policy
7.2. Importance of Data Compliance
7.3. Key Data Regulations (GDPR, CCPA, etc.)
7.4. Data Policy Frameworks
7.5. Data Policy Enforcement
7.6. Data Compliance Monitoring
7.7. Data Compliance Reporting
7.8. Data Compliance in Data Governance
7.9. Data Compliance Tools and Technologies
7.10. Hands-On: Creating Data Compliance Reports
Lesson 8: Data Stewardship Best Practices
8.1. Understanding Data Stewardship
8.2. Roles and Responsibilities of Data Stewards
8.3. Data Stewardship Frameworks
8.4. Data Stewardship for Data Quality
8.5. Data Stewardship for Data Governance
8.6. Data Stewardship for Data Compliance
8.7. Data Stewardship Tools and Technologies
8.8. Data Stewardship Best Practices
8.9. Data Stewardship Case Studies
8.10. Hands-On: Implementing Data Stewardship
Lesson 9: Advanced Metadata Management
9.1. Advanced Metadata Capture Techniques
9.2. Advanced Metadata Storage Solutions
9.3. Advanced Metadata Cataloging Techniques
9.4. Advanced Metadata Search and Discovery
9.5. Advanced Metadata Enrichment Techniques
9.6. Advanced Metadata Versioning
9.7. Advanced Metadata Governance
9.8. Advanced Metadata Integration with Data Lineage
9.9. Advanced Metadata Tools and Technologies
9.10. Hands-On: Advanced Metadata Management
Lesson 10: Advanced Data Lineage and Impact Analysis
10.1. Advanced Data Lineage Visualization Techniques
10.2. Advanced Impact Analysis Techniques
10.3. Automating Advanced Data Lineage
10.4. Advanced Data Lineage in Compliance and Auditing
10.5. Advanced Data Lineage for Data Quality Improvement
10.6. Advanced Data Lineage for Root Cause Analysis
10.7. Integrating Advanced Data Lineage with Metadata
10.8. Advanced Data Lineage Tools and Technologies
10.9. Advanced Data Lineage Case Studies
10.10. Hands-On: Building Advanced Data Lineage Reports
Lesson 11: Advanced Data Quality Management
11.1. Advanced Data Quality Assessment Techniques
11.2. Advanced Data Profiling Techniques
11.3. Advanced Data Cleansing and Standardization Techniques
11.4. Advanced Data Quality Monitoring
11.5. Advanced Data Quality Improvement Strategies
11.6. Advanced Data Quality in Data Governance
11.7. Advanced Data Quality Tools and Technologies
11.8. Advanced Data Quality Case Studies
11.9. Advanced Data Quality Best Practices
11.10. Hands-On: Implementing Advanced Data Quality Rules
Lesson 12: Advanced Data Cataloging and Discovery
12.1. Advanced Data Cataloging Techniques
12.2. Advanced Automated Data Cataloging
12.3. Advanced Data Discovery and Search Techniques
12.4. Enhancing Advanced Data Discovery with AI
12.5. Advanced Data Cataloging for Data Governance
12.6. Advanced Data Cataloging for Data Quality
12.7. Advanced Data Cataloging for Data Lineage
12.8. Advanced Data Cataloging Tools and Technologies
12.9. Advanced Data Cataloging Case Studies
12.10. Hands-On: Advanced Cataloging and Discovering Data
Lesson 13: Advanced Data Policy and Compliance
13.1. Advanced Data Policy Frameworks
13.2. Advanced Data Policy Enforcement Techniques
13.3. Advanced Data Compliance Monitoring
13.4. Advanced Data Compliance Reporting
13.5. Advanced Data Compliance in Data Governance
13.6. Advanced Data Compliance Tools and Technologies
13.7. Advanced Data Compliance Case Studies
13.8. Advanced Data Compliance Best Practices
13.9. Advanced Data Compliance Challenges and Solutions
13.10. Hands-On: Creating Advanced Data Compliance Reports
Lesson 14: Advanced Data Stewardship Best Practices
14.1. Advanced Data Stewardship Frameworks
14.2. Advanced Data Stewardship for Data Quality
14.3. Advanced Data Stewardship for Data Governance
14.4. Advanced Data Stewardship for Data Compliance
14.5. Advanced Data Stewardship Tools and Technologies
14.6. Advanced Data Stewardship Case Studies
14.7. Advanced Data Stewardship Best Practices
14.8. Advanced Data Stewardship Challenges and Solutions
14.9. Advanced Data Stewardship Roles and Responsibilities
14.10. Hands-On: Implementing Advanced Data Stewardship
Lesson 15: Integrating IBM Watson Data Catalog with Other Tools
15.1. Integration with IBM Cloud Pak for Data
15.2. Integration with IBM Watson Studio
15.3. Integration with IBM Watson Knowledge Catalog
15.4. Integration with IBM Watson OpenScale
15.5. Integration with IBM Watson Machine Learning
15.6. Integration with IBM Watson Analytics
15.7. Integration with IBM Watson Discovery
15.8. Integration with IBM Watson Assistant
15.9. Integration with Third-Party Tools
15.10. Hands-On: Setting Up Integrations
Lesson 16: Customizing IBM Watson Data Catalog
16.1. Customizing the User Interface
16.2. Customizing Metadata Schemas
16.3. Customizing Data Lineage Visualizations
16.4. Customizing Data Quality Rules
16.5. Customizing Data Policy Frameworks
16.6. Customizing Data Compliance Reports
16.7. Customizing Data Stewardship Roles
16.8. Customizing Data Cataloging Techniques
16.9. Customizing Data Discovery and Search
16.10. Hands-On: Implementing Customizations
Lesson 17: Automating Data Governance with IBM Watson Data Catalog
17.1. Automating Metadata Capture
17.2. Automating Data Lineage
17.3. Automating Data Quality Assessment
17.4. Automating Data Policy Enforcement
17.5. Automating Data Compliance Monitoring
17.6. Automating Data Stewardship Tasks
17.7. Automating Data Cataloging
17.8. Automating Data Discovery
17.9. Automating Data Governance Reporting
17.10. Hands-On: Setting Up Automation Workflows
Lesson 18: Scaling IBM Watson Data Catalog
18.1. Scaling Metadata Management
18.2. Scaling Data Lineage
18.3. Scaling Data Quality Management
18.4. Scaling Data Policy and Compliance
18.5. Scaling Data Stewardship
18.6. Scaling Data Cataloging and Discovery
18.7. Scaling Data Governance Reporting
18.8. Scaling Data Integration
18.9. Scaling Data Customization
18.10. Hands-On: Implementing Scaling Strategies
Lesson 19: Securing IBM Watson Data Catalog
19.1. Understanding Data Security
19.2. Data Security Best Practices
19.3. Securing Metadata
19.4. Securing Data Lineage
19.5. Securing Data Quality Management
19.6. Securing Data Policy and Compliance
19.7. Securing Data Stewardship
19.8. Securing Data Cataloging and Discovery
19.9. Securing Data Governance Reporting
19.10. Hands-On: Implementing Security Measures
Lesson 20: Monitoring and Optimizing IBM Watson Data Catalog
20.1. Monitoring Metadata Management
20.2. Monitoring Data Lineage
20.3. Monitoring Data Quality Management
20.4. Monitoring Data Policy and Compliance
20.5. Monitoring Data Stewardship
20.6. Monitoring Data Cataloging and Discovery
20.7. Monitoring Data Governance Reporting
20.8. Optimizing Data Governance Workflows
20.9. Optimizing Data Integration
20.10. Hands-On: Setting Up Monitoring and Optimization
Lesson 21: Advanced Data Governance Reporting
21.1. Creating Custom Data Governance Reports
21.2. Advanced Data Quality Reporting
21.3. Advanced Data Lineage Reporting
21.4. Advanced Data Compliance Reporting
21.5. Advanced Data Stewardship Reporting
21.6. Advanced Data Cataloging Reporting
21.7. Advanced Data Discovery Reporting
21.8. Advanced Data Governance Dashboards
21.9. Advanced Data Governance Visualizations
21.10. Hands-On: Building Advanced Data Governance Reports
Lesson 22: Advanced Data Integration Techniques
22.1. Advanced Data Integration Frameworks
22.2. Advanced Data Integration Tools
22.3. Advanced Data Integration Best Practices
22.4. Advanced Data Integration Challenges and Solutions
22.5. Advanced Data Integration with Metadata Management
22.6. Advanced Data Integration with Data Lineage
22.7. Advanced Data Integration with Data Quality Management
22.8. Advanced Data Integration with Data Policy and Compliance
22.9. Advanced Data Integration with Data Stewardship
22.10. Hands-On: Implementing Advanced Data Integration
Lesson 23: Advanced Data Customization Techniques
23.1. Advanced Customization of Metadata Schemas
23.2. Advanced Customization of Data Lineage Visualizations
23.3. Advanced Customization of Data Quality Rules
23.4. Advanced Customization of Data Policy Frameworks
23.5. Advanced Customization of Data Compliance Reports
23.6. Advanced Customization of Data Stewardship Roles
23.7. Advanced Customization of Data Cataloging Techniques
23.8. Advanced Customization of Data Discovery and Search
23.9. Advanced Customization of Data Governance Reporting
23.10. Hands-On: Implementing Advanced Customizations
Lesson 24: Advanced Automation Workflows
24.1. Advanced Automation of Metadata Capture
24.2. Advanced Automation of Data Lineage
24.3. Advanced Automation of Data Quality Assessment
24.4. Advanced Automation of Data Policy Enforcement
24.5. Advanced Automation of Data Compliance Monitoring
24.6. Advanced Automation of Data Stewardship Tasks
24.7. Advanced Automation of Data Cataloging
24.8. Advanced Automation of Data Discovery
24.9. Advanced Automation of Data Governance Reporting
24.10. Hands-On: Setting Up Advanced Automation Workflows
Lesson 25: Advanced Scaling Strategies
25.1. Advanced Scaling of Metadata Management
25.2. Advanced Scaling of Data Lineage
25.3. Advanced Scaling of Data Quality Management
25.4. Advanced Scaling of Data Policy and Compliance
25.5. Advanced Scaling of Data Stewardship
25.6. Advanced Scaling of Data Cataloging and Discovery
25.7. Advanced Scaling of Data Governance Reporting
25.8. Advanced Scaling of Data Integration
25.9. Advanced Scaling of Data Customization
25.10. Hands-On: Implementing Advanced Scaling Strategies
Lesson 26: Advanced Security Measures
26.1. Advanced Security for Metadata
26.2. Advanced Security for Data Lineage
26.3. Advanced Security for Data Quality Management
26.4. Advanced Security for Data Policy and Compliance
26.5. Advanced Security for Data Stewardship
26.6. Advanced Security for Data Cataloging and Discovery
26.7. Advanced Security for Data Governance Reporting
26.8. Advanced Security Tools and Technologies
26.9. Advanced Security Best Practices
26.10. Hands-On: Implementing Advanced Security Measures
Lesson 27: Advanced Monitoring and Optimization Techniques
27.1. Advanced Monitoring of Metadata Management
27.2. Advanced Monitoring of Data Lineage
27.3. Advanced Monitoring of Data Quality Management
27.4. Advanced Monitoring of Data Policy and Compliance
27.5. Advanced Monitoring of Data Stewardship
27.6. Advanced Monitoring of Data Cataloging and Discovery
27.7. Advanced Monitoring of Data Governance Reporting
27.8. Advanced Optimization of Data Governance Workflows
27.9. Advanced Optimization of Data Integration
27.10. Hands-On: Setting Up Advanced Monitoring and Optimization
Lesson 28: Advanced Data Governance Use Cases
28.1. Advanced Data Governance for Financial Services
28.2. Advanced Data Governance for Healthcare
28.3. Advanced Data Governance for Retail
28.4. Advanced Data Governance for Manufacturing
28.5. Advanced Data Governance for Government
28.6. Advanced Data Governance for Education
28.7. Advanced Data Governance for Telecommunications
28.8. Advanced Data Governance for Energy
28.9. Advanced Data Governance for Non-Profit Organizations
28.10. Hands-On: Implementing Industry-Specific Data Governance
Lesson 29: Advanced Data Governance Challenges and Solutions
29.1. Challenges in Metadata Management
29.2. Challenges in Data Lineage
29.3. Challenges in Data Quality Management
29.4. Challenges in Data Policy and Compliance
29.5. Challenges in Data Stewardship
29.6. Challenges in Data Cataloging and Discovery
29.7. Challenges in Data Governance Reporting
29.8. Solutions for Metadata Management Challenges
29.9. Solutions for Data Lineage Challenges
29.10. Solutions for Data Quality Management Challenges
Lesson 30: Advanced Data Governance Best Practices
30.1. Best Practices for Metadata Management
30.2. Best Practices for Data Lineage
30.3. Best Practices for Data Quality Management
30.4. Best Practices for Data Policy and Compliance
30.5. Best Practices for Data Stewardship
30.6. Best Practices for Data Cataloging and Discovery
30.7. Best Practices for Data Governance Reporting
30.8. Best Practices for Data Integration
30.9. Best Practices for Data Customization
30.10. Best Practices for Data Automation
Lesson 31: Advanced Data Governance Tools and Technologies
31.1. Advanced Tools for Metadata Management
31.2. Advanced Tools for Data Lineage
31.3. Advanced Tools for Data Quality Management
31.4. Advanced Tools for Data Policy and Compliance
31.5. Advanced Tools for Data Stewardship
31.6. Advanced Tools for Data Cataloging and Discovery
31.7. Advanced Tools for Data Governance Reporting
31.8. Advanced Tools for Data Integration
31.9. Advanced Tools for Data Customization
31.10. Advanced Tools for Data Automation
Lesson 32: Advanced Data Governance Case Studies
32.1. Case Study: Financial Services Data Governance
32.2. Case Study: Healthcare Data Governance
32.3. Case Study: Retail Data Governance
32.4. Case Study: Manufacturing Data Governance
32.5. Case Study: Government Data Governance
32.6. Case Study: Education Data Governance
32.7. Case Study: Telecommunications Data Governance
32.8. Case Study: Energy Data Governance
32.9. Case Study: Non-Profit Data Governance
32.10. Hands-On: Analyzing Case Studies
Lesson 33: Advanced Data Governance Frameworks
33.1. Advanced Data Governance Frameworks Overview
33.2. Advanced Data Governance Frameworks for Financial Services
33.3. Advanced Data Governance Frameworks for Healthcare
33.4. Advanced Data Governance Frameworks for Retail
33.5. Advanced Data Governance Frameworks for Manufacturing
33.6. Advanced Data Governance Frameworks for Government
33.7. Advanced Data Governance Frameworks for Education
33.8. Advanced Data Governance Frameworks for Telecommunications
33.9. Advanced Data Governance Frameworks for Energy
33.10. Advanced Data Governance Frameworks for Non-Profit Organizations
Lesson 34: Advanced Data Governance Strategies
34.1. Developing Advanced Data Governance Strategies
34.2. Advanced Data Governance Strategies for Financial Services
34.3. Advanced Data Governance Strategies for Healthcare
34.4. Advanced Data Governance Strategies for Retail
34.5. Advanced Data Governance Strategies for Manufacturing
34.6. Advanced Data Governance Strategies for Government
34.7. Advanced Data Governance Strategies for Education
34.8. Advanced Data Governance Strategies for Telecommunications
34.9. Advanced Data Governance Strategies for Energy
34.10. Advanced Data Governance Strategies for Non-Profit Organizations
Lesson 35: Advanced Data Governance Implementation
35.1. Implementing Advanced Data Governance Frameworks
35.2. Implementing Advanced Data Governance Strategies
35.3. Implementing Advanced Data Governance Tools
35.4. Implementing Advanced Data Governance Best Practices
35.5. Implementing Advanced Data Governance for Financial Services
35.6. Implementing Advanced Data Governance for Healthcare
35.7. Implementing Advanced Data Governance for Retail
35.8. Implementing Advanced Data Governance for Manufacturing
35.9. Implementing Advanced Data Governance for Government
35.10. Implementing Advanced Data Governance for Education
Lesson 36: Advanced Data Governance for Compliance
36.1. Advanced Data Governance for GDPR Compliance
36.2. Advanced Data Governance for CCPA Compliance
36.3. Advanced Data Governance for HIPAA Compliance
36.4. Advanced Data Governance for SOX Compliance
36.5. Advanced Data Governance for PCI-DSS Compliance
36.6. Advanced Data Governance for FISMA Compliance
36.7. Advanced Data Governance for ISO/IEC 27001 Compliance
36.8. Advanced Data Governance for NIST Compliance
36.9. Advanced Data Governance for Industry-Specific Compliance
36.10. Hands-On: Implementing Compliance-Specific Data Governance
Lesson 37: Advanced Data Governance for Data Quality
37.1. Advanced Data Quality Management Techniques
37.2. Advanced Data Quality Assessment Tools
37.3. Advanced Data Quality Monitoring Solutions
37.4. Advanced Data Quality Improvement Strategies
37.5. Advanced Data Quality Reporting
37.6. Advanced Data Quality for Financial Services
37.7. Advanced Data Quality for Healthcare
37.8. Advanced Data Quality for Retail
37.9. Advanced Data Quality for Manufacturing
37.10. Hands-On: Implementing Advanced Data Quality Management
Lesson 38: Advanced Data Governance for Data Lineage
38.1. Advanced Data Lineage Visualization Techniques
38.2. Advanced Data Lineage Tools
38.3. Advanced Data Lineage for Compliance
38.4. Advanced Data Lineage for Data Quality
38.5. Advanced Data Lineage for Root Cause Analysis
38.6. Advanced Data Lineage for Financial Services
38.7. Advanced Data Lineage for Healthcare
38.8. Advanced Data Lineage for Retail
38.9. Advanced Data Lineage for Manufacturing
38.10. Hands-On: Implementing Advanced Data Lineage
Lesson 39: Advanced Data Governance for Data Stewardship
39.1. Advanced Data Stewardship Frameworks
39.2. Advanced Data Stewardship Tools
39.3. Advanced Data Stewardship Best Practices
39.4. Advanced Data Stewardship for Financial Services
39.5. Advanced Data Stewardship for Healthcare
39.6. Advanced Data Stewardship for Retail
39.7. Advanced Data Stewardship for Manufacturing
39.8. Advanced Data Stewardship for Government
39.9. Advanced Data Stewardship for Education
39.10. Hands-On: Implementing Advanced Data Stewardship
Lesson 40: Future Trends in Data Governance
40.1. Emerging Trends in Data Governance
40.2. Future of Metadata Management
40.3. Future of Data Lineage
40.4. Future of Data Quality Management
40.5. Future of Data Policy and Compliance
40.6. Future of Data Stewardship
40.7. Future of Data Cataloging and Discovery
40.8. Future of Data Governance Reporting
40.9. Future of Data Integration