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A materialized view takes a different approach: the query result is cached as a concrete ("materialized") table (rather than a view as such) that may be updated from the original base tables from time to time. This enables much more efficient access, at the cost of extra storage and of some data being potentially out-of-date.
Materialized views were introduced by Oracle Database, while IBM Db2 provides so-called "materialized query tables" (MQTs) for the same purpose. Microsoft SQL Server introduced in its 2000 version indexed views which only store a separate index from the table, but not the entire data. PostgreSQL implemented materialized views in its 9.3 release.
Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a warehouse. Dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint. [11] Dbt uses YAML files to declare ...
Certain EAV data in a warehouse may be converted into standard tables using "materialized views" (see data warehouse), but this is generally a last resort that must be used carefully, because the number of views of this kind tends to grow non-linearly with the number of attributes in a system.
SQL Database Studio (SDS) is used by database developers for designing database and also by average users for browsing data. SDS comes in two version. EXPRESS version is free even for commercial purposes but lacks some features that are in PRO version. SDS allows visualization of GPS data.
In SQL Server versions 6.5 and earlier, database administrators (DBAs) used SQL Server Transfer Manager and Bulk Copy Program, included with SQL Server, to transfer data. These tools had significant shortcomings, and many [ quantify ] DBAs used third-party tools such as Pervasive Data Integrator to transfer data more flexibly and easily.
Microsoft SQL Server Express is a version of Microsoft's SQL Server relational database management system that is free to download, distribute and use. It comprises a database specifically targeted for embedded and smaller-scale applications.
Azure SQL Database is built on the foundation of the SQL server database and therefore, kept in sync with the latest version [2] of it by using the common code base. Since the cloud version of the database technology strives to decouple it from the underlying computing infrastructure, it doesn't support some of the context specific T-SQL ...