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  2. Create, read, update and delete - Wikipedia

    en.wikipedia.org/wiki/Create,_read,_update_and...

    In computer programming, create, read, update, and delete (CRUD) are the four basic operations (actions) of persistent storage. [1] CRUD is also sometimes used to describe user interface conventions that facilitate viewing, searching, and changing information using computer-based forms and reports .

  3. RocksDB - Wikipedia

    en.wikipedia.org/wiki/RocksDB

    It represents a shared abstraction for create, read, update and delete (CRUD) operations common to every storage engine. It augments it with structured bindings for several high-level languages, including Python , Java , and Go .

  4. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    The core operations that a document-oriented database supports for documents are similar to other databases, and while the terminology is not perfectly standardized, most practitioners will recognize them as CRUD: Creation (or insertion) Retrieval (or query, search, read or find) Update (or edit) Deletion (or removal)

  5. Zorba (XQuery processor) - Wikipedia

    en.wikipedia.org/wiki/Zorba_(XQuery_processor)

    Zorba is usable through different host languages: C++, C, XQJ / Java, PHP, Python, C#, Ruby, and even XQuery/JSONiq. Zorba is also available as a command-line tool. XQDT is an XQuery plugin for the Eclipse (IDE). It fully supports Zorba API and syntax.

  6. Oracle NoSQL Database - Wikipedia

    en.wikipedia.org/wiki/Oracle_NoSQL_Database

    Oracle NoSQL Database includes support for Java, C, Python, C# and REST APIs. These allow the application developer to perform CRUD operations. These libraries include Avro support, so that developers can serialize key-value records and de-serialize key-value records interchangeably between C and Java applications. [20]

  7. Data access object - Wikipedia

    en.wikipedia.org/wiki/Data_Access_Object

    By mapping application calls to the persistence layer, the DAO provides data operations without exposing database details. This isolation supports the single responsibility principle . It separates the data access the application needs, in terms of domain-specific objects and data types (the DAO's public interface), from how these needs can be ...

  8. Active record pattern - Wikipedia

    en.wikipedia.org/wiki/Active_record_pattern

    Implementations of the concept can be found in various frameworks for many programming environments. For example, if there is a table parts in a database with columns name (string type) and price (number type), and the Active Record pattern is implemented in the class Part, the pseudo-code

  9. Command–query separation - Wikipedia

    en.wikipedia.org/wiki/Command–query_separation

    As we move away from a single representation that we interact with via CRUD, we can easily move to a task-based UI. CQRS fits well with event-based programming models. It's common to see a CQRS system split into separate services communicating with Event Collaboration. This allows these services to easily take advantage of Event Driven ...