Database conversion

What is meant by Database conversion?

The term "database conversion" refers to the process of transforming data from one database format or system to another. This can involve converting data between different database management systems (DBMS), mapping data structures, or adapting data formats. Conversion is often required to ensure compatibility, perform migrations, or integrate data between different applications and systems.

Typical Software Functions in the Area of "Database Conversion":

1. Data Migration:

   • Transferring data from an existing system to a new system or format.
   • Ensuring data integrity and consistency during migration.

2. Schema Conversion:

   • Adapting and converting database schemas between different DBMS.
   • Automatic or manual adjustment of table structures, indexes, and relationships.

3. Data Format Transformation:

   • Converting data formats (e.g., CSV, XML, JSON) into the format required by the target database system.
   • Adjusting data types and formatting to meet the new system’s requirements.

4. Data Cleaning and Normalization:

   • Cleaning data to remove duplicates and inconsistencies.
   • Normalizing data structure to avoid redundancy and improve data integrity.

5. Integration and Consolidation:

   • Merging data from different sources or databases into a unified structure.
   • Integrating data from heterogeneous systems for comprehensive analysis and reporting.

6. Testing and Validation:

   • Conducting tests to verify the completeness and accuracy of the converted data.
   • Validating data against the requirements and expectations of the target system.

7. Automation and Scripting:

   • Automating the conversion process through scripts or specialized tools.
   • Creating batch processes for regular or repeated data conversions.