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Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary. The increase in the size and in the semantic heterogeneity of database schemas bring new requirements for users querying and searching structured data .
Containers are grouped in "databases", which are analogous to namespaces above containers. Containers are schema-agnostic, which means that no schema is enforced when adding items. By default, every field in each item is automatically indexed, generally providing good performance without tuning to specific query patterns.
A database management system (DBMS) is a computer program (or more typically, ... Schema-agnostic databases; Shard (database architecture) Sketch Engine; Sourcegraph;
Distributional-Relational models can be applied to the construction of schema-agnostic databases (databases in which users can query the data without being aware of its schema), semantic search, schema-integration and inductive and abductive reasoning as well as different applications in which a semantically flexible knowledge representation ...
Devices and programs [6] can become more data-agnostic by using a generic storage format to create, read, update and delete files. Formats like XML and JSON can store information in a data agnostic manner. For example, XML is data agnostic in that it can save any type of information. However, if you use Data Transform Definitions (DTD) or XML ...
The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).
When Vishakha Gupta and her co-founder Luis Remis were working together at Intel Labs in 2016, they were charged with figuring out how to manage growing amounts of visual data (images and video).
Clusterpoint is a schema-free document database. [11]Examples are where SQL RDBMS data is used in combination with an enterprise search engine to address performance and scalability needs of web and mobile applications, or where big data and analytics tools such as Hadoop might be needed due to sheer volume of data or large computing workloads.