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The main types of databases include hierarchical, network, object-oriented, relational, and NoSQL databases. Each type is designed for specific use cases, from managing structured data to handling large-scale, unstructured data.
Migrations help transition database schemas from their current state to a new desired state, whether that involves adding tables and columns, removing elements, splitting fields, or changing types and constraints. Migrations manage incremental, often reversible, changes to data structures in a programmatic way.
Addressing database migration challenges Conducting a detailed inventory of data helps identify sensitive and critical data, which is necessary to ensure everything is accounted for. Automated database migration tools enable data professionals to compare source and target data, ensuring data integrity and consistency.
Standard SQL defines four isolation levels that can be set using the SET TRANSACTION ISOLATION LEVEL statement: Serializable, Repeatable Read, Read Committed, and Read Uncommitted.
CRUD is the acronym for CREATE, READ, UPDATE and DELETE. These terms describe the four essential operations for creating and managing persistent data elements, mainly in relational and NoSQL databases.
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The types of database users are database administrators, application programmers, end-users, and system analysts. Database administrators (DBAs) are the primary users who manage and control the database. They are responsible for the overall functioning of the database system.

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