Sentence examples for creating a schema from inspiring English sources

The phrase "creating a schema" is correct and usable in written English.
It can be used in various contexts, such as technical writing, academic writing, and business writing. Example 1: In order to properly organize and manage the data, the first step is creating a schema that outlines the structure and relationships between different data sets. Example 2: The software developer spent several hours creating a schema for the new database system. Example 3: When designing a new website, it is important to start by creating a schema to map out the pages and content organization.

Exact(1)

The overhead of creating a schema beforehand is compensated by the flexibility of querying the data using SQL [60], a very powerful mechanism that can be used to implement almost any kind of data manipulation.

Similar(59)

Omegazones (by 4kWorldMap) is a project to create a schema and an API that Christian orgs can use to share spiritual data with each other.

In a small installation where there is one collection of tables serving a single purpose, for example, it may not even be necessary to create a schema to hold them.

Buying something is comparatively simple, but how do you create a schema for recognizing a cold war, or a bear market?

A developer will create a schema to define the types and capabilities of the API developed in GraphQL and tied to a "Resolver" function.

Hedera's governance structure is modeled after Visa's strategy for bringing competing banks together to create a schema to benefit them all, while making sure no member has any more influence than any other member.

Similar aspects are identified by other theorists, including Crocker et al. [ 5] who suggested the 'visability' of a stigma creates a schema through which all other aspects of the person are viewed.

To bridge this high level view with the underlying database, we create a schema graph that merges the ontology with the database scheme to capture the semantic relationships the database objects share through their attributes to facilitate natural language query to SQL translation.

Despite recent progress, setting up and maintaining a data integration application still requires significant upfront effort of creating a mediated schema and semantic mappings from the data sources to the mediated schema.

In this case, it is essential to develop adaptive algorithms to shuffle data across tables throughout the lifetime of the system, thus creating a dynamic database schema.

As a result, we can find a solution that simultaneously satisfies the hard and soft constraints represented by a temporal logic1 formula, without the need of creating a full composition schema.

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