What skills do you need to evaluate database migration and integration projects?

1 Data Modeling

Data modeling is the skill of designing and documenting the structure, relationships, and constraints of data in a database. It is essential for evaluating database migration and integration projects because it helps you understand the source and target data, identify potential issues and gaps, and plan the best way to transform and map the data. You need to be familiar with different types of data models, such as conceptual, logical, and physical, and use appropriate tools and techniques to create and validate them.

2 Data Quality

Data quality is the skill of assessing and improving the accuracy, completeness, consistency, and relevance of data in a database. It is crucial for evaluating database migration and integration projects because it affects the reliability and usability of the data, and the performance and outcomes of the projects. You need to be able to define and measure data quality metrics, such as validity, completeness, uniqueness, timeliness, and consistency, and use various methods and tools to cleanse, enrich, and standardize the data.

3 Data Security

Data security is the skill of protecting data from unauthorized access, use, modification, or disclosure. It is vital for evaluating database migration and integration projects because it ensures the confidentiality, integrity, and availability of the data, and the compliance with legal and ethical standards. You need to be aware of the data security risks and challenges involved in these projects, such as data breaches, data loss, data corruption, and data privacy violations, and use appropriate strategies and solutions to mitigate them, such as encryption, authentication, authorization, auditing, and backup.

4 Data Integration

Data integration is the skill of combining data from different sources and formats into a unified and consistent view. It is a key component of database migration and integration projects because it enables the data to be accessed, analyzed, and shared across different systems and applications. You need to be proficient in using various data integration techniques and tools, such as ETL (extract, transform, load), ELT (extract, load, transform), data pipelines, data warehouses, data lakes, and APIs (application programming interfaces).

5 Data Analysis

Data analysis is the skill of exploring, interpreting, and communicating data insights and patterns. It is a valuable skill for evaluating database migration and integration projects because it helps you verify the quality and accuracy of the data, identify the benefits and drawbacks of the projects, and provide feedback and recommendations for improvement. You need to be adept at using various data analysis methods and tools, such as SQL (structured query language), BI (business intelligence), data visualization, and data storytelling.

6 Project Management

Project management is the skill of planning, executing, monitoring, and controlling projects to achieve specific goals and objectives. It is an essential skill for evaluating database migration and integration projects because it helps you manage the scope, time, cost, quality, and risks of the projects, and ensure their alignment with the business needs and expectations. You need to be familiar with different project management methodologies and frameworks, such as agile, waterfall, and hybrid, and use effective project management tools and techniques, such as project charter, project plan, project schedule, project budget, project status report, and project review.