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Data Migration Strategy and Approach: A Foundational Course
Master Data Migration Strategy and Approach! 🚀
What does this corporate professionals course have to offer?
Module 1 - Introduction to Data Migration
- Lesson 1: Why and What is Data Migration?
- Lesson 2: Types of Data Migration projects in IT Industry
- Lesson 3: How do different industries approach data migration projects
- Lesson 4: Overview of the Data Migration Lifecycle
Module 2 - AS-IS Data Analysis
- Lesson 1: Understanding current data landscape
- Lesson 2: Techniques for data profiling and analysis
- Lesson 3: Risks: Incomplete data discovery, misunderstanding of data relationships
Module 3 - Data Design & Scope for Migration
- Lesson 1: Defining migration scope and objectives
- Lesson 2: Objectives of a data migration project & Steps to Data Model the Target System in a Data Migration Project
- Lesson 3: Field Mapping and Data Volume Estimation
Module 4 - Data Sources Extraction
- Lesson 1: Strategies for Data Extraction from Various Sources
- Lesson 2: ETL Tools for Data Extraction from Various Sources
- Lesson 3: Managing Data Extraction Challenges
- Lesson 4: Deliverables – Extraction Scripts and Data Extraction Logs
Module 5 - Data Quality – Metrics and Standards
- Lesson 1: Defining Data Quality Metrics
- Lesson 2: Data Profiling Techniques
- Lesson 3: Data Cleansing Techniques
Module 6 - Data Transformation and Enrichment
- Lesson 1: Data Transformation Strategies
- Lesson 2: Data Enrichment Techniques
- Lesson 3: Managing Data Dependencies and Relationships
Module 7 - Data Loading in Target Systems
- Lesson 1: Strategies for Managing and Optimizing Data Load Performance
- Lesson 2: Strategies for Managing and Optimizing Data Load Performance
- Lesson 3: Error Handling and Rollback Procedures
Module 8 - Test Data Provisioning
- Lesson 1: Strategies for Test Data Creation and Management
- Lesson 2: Pre-Migration Testing Approaches
- Lesson 3: Pre-Migration Testing Approaches
- Lesson 4: Post-Migration Testing
Module 9 - Technical Validation and Reconciliation
- Lesson 1: Types and Techniques of Data Validation
- Lesson 2: Reconciliation Processes and Tools
- Lesson 3: Managing Discrepancies and Error Resolution
- Lesson 4: Managing Discrepancies and Error Resolution
Module 10 - Interfaces, Reports, and Data Archival
- Lesson 1: Managing System Interfaces During Migration
- Lesson 2: Developing Migration Reports and Dashboards
Module 11 - Data Governance
- Lesson 1: Establishing Data Governance Frameworks
- Lesson 2: Defining Data Stewardship Roles and Responsibilities
- Lesson 3: Implementing Data Standards and Procedures
- Lesson 4: Communication, Training, and Monitoring for Data Governance
Module 12 - Infrastructure and Security Considerations
- Lesson 1: Hardware and Software Requirements for Migration
- Lesson 2: Network Considerations and Performance Optimization in Data Migration
- Lesson 3: Security Controls and Compliance Measures in Data Migration
Module 13 - Putting It All Together - Developing a Comprehensive Migration Strategy
- Lesson 1: Developing a Comprehensive Migration Strategy
- Lesson 2: Project Planning and Resource Allocation
Module 14 - AI Agents in Data Migration – A Unified Approach
- AI Agents in Data Migration
Each module includes a quiz with a required passing score of 80%. Upon successfully completing the entire course, you will receive a certificate of completion.
£ 0 GBP
No. of Modules
14
Frequently Asked Questions
What is the primary objective of this course?
The course aims to provide learners with a comprehensive understanding of data migration processes, techniques, and tools, enabling them to handle data migration projects effectively across various industries.
Who is this course suitable for?
This course is ideal for IT professionals, data analysts, project managers, and anyone interested in learning about data migration and its practical implementation.
What topics are covered in the course?
The course covers a wide range of topics, including:
- Introduction to data migration
- Data analysis and profiling
- Migration design and scope
- Data extraction, transformation, and loading
- Data quality standards
- Testing, validation, and reconciliation
- Governance and security considerations
- Developing a comprehensive migration strategy
Do I need prior experience in data migration to take this course?
No prior experience is required. However, basic knowledge of databases, data management, or IT processes will be helpful.
How are the modules structured?
Each module consists of lessons that delve into specific aspects of data migration, followed by a quiz to test your understanding.
What is the passing score for the quizzes?
Each module quiz requires a minimum passing score of 80%.
Will I receive a certificate upon completing the course?
Yes, you will receive a certificate of completion after successfully finishing all modules and quizzes in the course.
What are the key benefits of completing this course?
By completing the course, you will:
- Gain in-depth knowledge of data migration lifecycles
- Learn practical techniques for handling data challenges
- Be equipped with tools to manage and optimize data migration projects
How is the course content delivered?
The course content is delivered through structured lessons, quizzes, and hands-on examples to enhance practical understanding.
Are there any resources or tools recommended for this course?
Yes, learners are encouraged to explore ETL tools, data profiling software, and database management systems to complement their learning and practice real-world scenarios.
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