ADVANCED DATA MANAGEMENT

ADVANCED DATA MANAGEMENT

Offline in Singapore | Malaysia | Thailand | Hong Kong

Training Date by Request

OVERVIEW

The “Advanced Data Management” training is designed to provide professionals with in-depth knowledge and skills in managing complex data environments. This training will cover advanced concepts and techniques in data management, including data governance, data quality, data integration, and data security. Participants will learn how to implement best practices and leverage cutting-edge tools and technologies to optimize data management processes and drive business value.

By the end of this training, participants will be equipped to handle the challenges of modern data management, ensuring their organizations can effectively manage and utilize their data assets to support strategic decision-making and maintain a competitive edge in the market.

OBJECTIVES

1. Understand advanced data management principles and best practices.
2. Implement effective data governance frameworks and policies.
3. Enhance data quality and ensure data integrity across the organization.
4. Utilize advanced tools and techniques for data integration and security.

COURSE MATERIALS

1. Introduction to Advanced Data Management

• Overview of advanced data management concepts
• Importance of data management in modern organizations

2. Data Governance

• Developing data governance frameworks
• Roles and responsibilities in data governance
• Policies and procedures for data management
• Regulatory compliance and data governance

3. Data Quality Management

• Principles of data quality management
• Techniques for data quality assessment and improvement
• Data cleansing and enrichment methods
• Data quality metrics and monitoring

4. Data Integration

• Advanced data integration techniques
• ETL (Extract, Transform, Load) processes
• Data warehousing and data lakes
• Real-time data integration and streaming

5. Data Security and Privacy

• Data security frameworks and best practices
• Data encryption and protection techniques
• Ensuring data privacy and compliance with regulations (e.g., GDPR, CCPA)
• Risk management and data breach response

6. Big Data and Analytics

• Managing big data environments
• Advanced analytics and data science techniques
• Tools and platforms for big data management
• Leveraging AI and machine learning for data management

7. Data Lifecycle Management

• Data lifecycle stages and management strategies
• Data archiving and retention policies
• Data disposal and destruction methods
• Ensuring data availability and recovery

8. Data Management Tools and Technologies

• Overview of advanced data management tools
• Selecting the right tools for your organization
• Implementation and integration of data management tools
• Case studies and best practices

9. Case Studies and Practical Applications

LEAD INSTRUCTOR

Team Instructor

INVESTMENT

Jadwal Training 2024

www.e-trainingonline.com