Examples of using Relational databases in English and their translations into Ukrainian
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Colloquial
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Ecclesiastic
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Computer
One or more relational databases;
At least 2 years' experience of working with relational databases.
Using relational databases.
SQL is a programming language for Relational Databases.
Relational databases do not inherently contain the idea of fixed relationships between records.
Working knowledge of relational databases.
Relational databases store entities in separate tables, which are usually normalized.
Working knowledge of relational databases.
Relational databases assume a unique index is applied to a table's primary key.
General knowledge of relational databases.
For relational databases it uses JDBC API to interact with databases via a JDBC driver.
Experience working with relational databases(MySQL, Postgres).
Understanding of NoSQL databases, differences between NoSQL and relational databases.
Unique keys play an important part in all relational databases, as they tie everything together.
Whereas relational databases offer robust query languages, DynamoDB offers just Put, Get, Update, and Delete operations.
Keys are some of the most important objects in all relational databases, as they tie everything together.
Besides relational databases, CE version supports WMI driver(Windows Management Instrumentation- works only in Windows version).
Knowledge extraction is the creation of knowledge from structured(relational databases, XML) and unstructured(text, documents, images) sources.
Relational databases mainly use row-based data storage, but column-based storage is more useful for many business applications.
ODM for MongoDB In addition to its ability to map tables in relational databases, Phalcon can map documents to a MongoDB database. .
Relational databases are very well suited to flat data layouts, where relationships between data is one or two levels deep.
Although many report-writing tools exist for relational databases, these are slow when the whole database must be summarized.
Most conventional relational databases use"row-oriented" storage, meaning that all data associated with a given row is stored together.
A good ETL toolmust be able to communicate with the many different relational databases and read the various file formats used throughout an organization.
SQL are also known as relational databases and are more structured than NoSQL databases, which are known as non-relational databases. .
An object-relational database canbe said to provide a middle ground between relational databases and object-oriented databases(object database). .
Such systems interact with relational databases- as a result chat-bots interact with a higher precision.
Minimum two years experience working with relational databases, including designing a normalized database, creating tables and relationships.
Key Difference: SQL are also known as relational databases and are more structured than NoSQL databases, which are known as non-relational databases. .
In contrast to conventional row-orientation, relational databases can also be column-oriented or correlational in the way they store data in any particular structure.