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  2. Agnostic (data) - Wikipedia

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

    Whenever the data can be treated as agnostic, the coding is simplified, as it only has to deal with one case (the data agnostic case) rather than multiple (PNG, PDF, etc.). When the data must be displayed or acted on, then it is interpreted based on the field definitions and formatting information, and returned to a data agnostic format as soon ...

  3. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    Schema-agnostic databases or vocabulary-independent databases aim at supporting users to be abstracted from the representation of the data, supporting the automatic semantic matching between queries and databases.

  4. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    This is a comparison of data serialization formats, various ways to convert complex objects to sequences of bits. It does not include markup languages used exclusively as document file formats . Overview

  5. Database abstraction layer - Wikipedia

    en.wikipedia.org/wiki/Database_abstraction_layer

    Database abstraction layers reduce the amount of work by providing a consistent API to the developer and hide the database specifics behind this interface as much as possible. There exist many abstraction layers with different interfaces in numerous programming languages. If an application has such a layer built in, it is called database ...

  6. List of countries by irreligion - Wikipedia

    en.wikipedia.org/wiki/List_of_countries_by...

    The Zuckerman data on the table below only reflect the number of people who have an absence of belief in a deity only (atheists, agnostics). These do not include the broader number of people who do not identify with a religion, such as deists, pantheists, and spiritual-but-not-religious people.

  7. Data masking - Wikipedia

    en.wikipedia.org/wiki/Data_masking

    Data masking or data obfuscation is the process of modifying sensitive data in such a way that it is of no or little value to unauthorized intruders while still being usable by software or authorized personnel. Data masking can also be referred as anonymization, or tokenization, depending on different context.

  8. Cache-oblivious algorithm - Wikipedia

    en.wikipedia.org/wiki/Cache-oblivious_algorithm

    Cache oblivious algorithms outperformed RAM-based algorithms when data size exceeded the size of main memory. Another study compared hash tables (as RAM-based or cache-unaware), B-trees (as cache-aware), and a cache-oblivious data structure referred to as a "Bender set". For both execution time and memory usage, the hash table was best ...

  9. 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.