The components of SQL Server help to improve the database management and developer productivity. These benefits are provided by the following features:
Most database systems have created customized versions of the SQL language. For example, transact-SQL (T-SQL) is a scripting language used on the SQL Server for programming. Alternatively, PL-SQL is used for programming in Oracle. T-SQL confirms to the ANSI SQL-92 standard published by ANSI and ISO in the year 1992.
SQL is not a case-sensitive statement. Therefore, you can write the commands is any case, lowercase or uppercase. For example, you can use the SELECT statement in lowercase as 'select' or in title case as 'Select'.
- Built-in support for XML data: Allow you to store and manage XML data in variables or columns of the XML data type. The XML data is stored in a structured format that can be used across different platforms and applications.
- CLR integration: Allows you to implement programming logic in any language supported.
- Scalability: Allow portioning of database table to help in parallel processing of queries. This makes the database scalable and improves the performance of queries.
- Service-oriented architecture: Provides a distributed, asynchronous application Framework for large-scale applications. This allows the database clients to send requests to the database server even if the server is not available to process the request immediately.
- Support for Web services: Allows you to provide direct access to the data from the Web services by implementing the HTTP endpoints.
- High level of security: implements high security by enforcing policies for log on passwords. Administrators can also manage permissions granted to different users to access the database objects.
- High availability: ensures that the database server is available to all users at all times. This reduces the downtime of the server. High availability in SQL Server is implemented with the help of database mirroring, failover clustering, and database snapshots.
- Support for data migration and analysis: provides tools to migrate data from disparate data sources to a common database. In addition, it allows building the data warehouse on this that can support BI applications for data analysis and decision-making
SQL
Database developer need to manage the database to store, access, and modify data. SQL is the core language used to perform these operations on the data. SQL, pronounced as “sequel”, is a language that is used to manage data in an RDBMS. This language was developed by IBM in the 1970s and follows the international Organization for Standardization (ISO) and American National Standards Institute (ANSI) standards.Most database systems have created customized versions of the SQL language. For example, transact-SQL (T-SQL) is a scripting language used on the SQL Server for programming. Alternatively, PL-SQL is used for programming in Oracle. T-SQL confirms to the ANSI SQL-92 standard published by ANSI and ISO in the year 1992.
Here're the categorization of SQL statements:
- Data Definition Language (DDL): is used by to define the database, data types, structures, and constraints on the data. Some of the DDL commands are create, alter and drop etc.
- Data manipulation language (DML): is used to manipulate the data in the database objects. Some of the DML commands are insert, update and delete.
- Data Control Language (DCL): is used to control the data access in the database Some of the DCL commands are grant and revoke.
- Data Query Language (DQL): is used to query data from the database objects. Select is the DQL command that is used to select data from the database in different ways and formats.
SQL is not a case-sensitive statement. Therefore, you can write the commands is any case, lowercase or uppercase. For example, you can use the SELECT statement in lowercase as 'select' or in title case as 'Select'.
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