Final answer:
During a migration effort, structured data, unstructured data, and semi-structured data like JSON or XML files are commonly imported. This process requires meticulous planning to avoid data loss or corruption.
Step-by-step explanation:
Common Data Types in Migration Efforts
During a migration effort, the most common data types that are imported include structured and unstructured data. Structured data encompasses clearly defined data types with patterns that make them easily searchable, such as databases containing customer information, financial records, and employee details. Unstructured data is information that does not have a pre-defined data model, which includes emails, documents, multimedia files, and social media posts. Additionally, semi-structured data, like JSON files or XML files, which do not fit neatly into a traditional relational database but still contain tags or other markers to separate semantic elements and enforce hierarchies of records and fields, are also commonly migrated.
It's essential to ensure that the data migration process is planned carefully to prevent any data loss or corruption, which includes tasks such as data mapping, data cleansing, and the thorough testing of the migrated data.