Examples of using Relational databases in English and their translations into Norwegian
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Develop a basic understanding of relational databases.
Relational databases may formally identify their rows(records) as tuples.
SQL is used to execute operations against relational databases.
Design a relational databases based on a data model following standard methodology.
This is the approach used in relational databases like SQL Server.
Efastar Supply Master is based on Java, XML,Web services, and relational databases.
Understand the basic concepts of relational databases ensure refined code by developers.
The service enables users to integrate data in cloud CRMs and relational databases.
XQuark Bridge project extends relational databases with XQuery and XML-relational mapping.
We help you connect to various data sources, systems,applications and relational databases.
Data types are a standard for all relational databases, and they help ensure accurate data entry.
Access differs from many other database applications by allowing you to create relational databases.
Reportizer works with relational databases via several database engine interfaces like ADO etc.
It gives dependable, adaptable andreal-time integration between Splunk Enterprise and relational databases.
Know about the development of relational databases and be able to extract data from such databases. .
Aqua Data Studio provides an integrated database environment with a single consistent interface to all major relational databases.
This course includes data modeling,use of relational databases, query optimization and transactions.
DatabaseSpy is a unique multi-database tool that connects to all major databases and simplifies querying, visualizing, managing, designing, comparing,and charting relational databases.
Example use cases include many enterprise-grade applications, relational databases, in-memory caching, and analytics.
As traditional relational databases use tables and rows, MongoDB is created on procedure of collections and documents.
Devart Excel Add-ins allow you to use powerful Excel capabilities for processing andanalysis of data from cloud applications and relational databases, edit external data as usual excel spreadsheets and save data changes back to the data source….
Compared to classic relational databases(PostgreSQL, MySQL), Neo4j provides a performance boost regarding both resource usage and query speed.
Altova Authentic Enterprise Edition is an advanced WYSIWYG XML and database content editor that allows non-technical users to view andedit data in XML documents and relational databases without being exposed to the underlying technology.
There are serious differences between it and classic relational databases, ArangoDB being ideal for high-load and high-speed environments.
Easily migrate your SQL Server, open source,and other relational databases to fully managed solutions, like SQL Database managed instance, Azure Database for PostgreSQL, and Azure Database for MySQL with Azure Database Migration Service.
Devart Excel Add-ins allow you to use powerful Excel capabilities for processing andanalysis of data from cloud applications and relational databases, edit external data as usual excel spreadsheets and save data changes back to the data source you have imported them from.
Minimum two years experience working with relational databases, including designing a normalized database, creating tables and relationships.
Data is stored in tables in a relational database.
XQuark Bridge expands existing relational database functionality with advanced XML import/export capabilities.
A relational database is a database that conforms to the relational model.