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  2. Agnostic (data) - Wikipedia

    en.wikipedia.org/wiki/Agnostic_(data)

    Since the data is stored in an agnostic format, developers do not need to hard-code ways to deal with all different kinds of data. A table with information about dogs and one with information about cats can be treated in the same way; extract the field definitions and the field content from the data agnostic storage format and display it based ...

  3. Service Data Objects - Wikipedia

    en.wikipedia.org/wiki/Service_Data_Objects

    Service Data Objects denote the use of language-agnostic data structures that facilitate communication between structural tiers and various service-providing entities. They require the use of a tree structure with a root node and provide traversal mechanisms (breadth/depth-first) that allow client programs to navigate the elements. Objects can ...

  4. Database abstraction layer - Wikipedia

    en.wikipedia.org/wiki/Database_abstraction_layer

    An example of a database abstraction layer on the language level would be ODBC that is a platform-independent implementation of a database abstraction layer. The user installs specific driver software, through which ODBC can communicate with a database or set of databases. The user then has the ability to have programs communicate with ODBC ...

  5. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    The evolution of databases in the direction of heterogeneous data environments strongly impacts the usability, semiotics and semantic assumptions behind existing data accessibility methods such as structured queries, keyword-based search and visual query systems. With schema-less databases containing potentially millions of dynamically changing ...

  6. Comparison of data structures - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data_structures

    For a more comprehensive listing of data structures, see List of data structures. The comparisons in this article are organized by abstract data type . As a single concrete data structure may be used to implement many abstract data types, some data structures may appear in multiple comparisons (for example, a hash map can be used to implement ...

  7. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.

  8. Anemic domain model - Wikipedia

    en.wikipedia.org/wiki/Anemic_domain_model

    Plain old Java object; Domain-driven design; GRASP information expert, an anemic domain model is the typical result of not applying the information expert principle, i.e. you can avoid an anemic domain model by trying to assign responsibilities to the same classes that contain the data

  9. Abstract syntax tree - Wikipedia

    en.wikipedia.org/wiki/Abstract_syntax_tree

    An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language. Each node of the tree denotes a construct occurring in the text.