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Databases and Sql as a Middle Tier Storage Medium

Author: DOTNUTSHELL Technolgies Author Ranking Blue | Posted: 04-02-2008 | Comments: 0 | Views: 38 | Rating:  (53) Article Popularity - Blue (?) Got a Question? Ask.
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DOTNUTSHELL Technologies are an experienced database designing company, with Oracle accredicated qualification providing services both in the OpenSource and Enterprise field.

Microsoft SQL Server is a relational database management system. Its primary query language is Transact-SQL, an implementation of the ANSI/ISO standard Structured Query Language (SQL) used by both Microsoft and Sybase.

Microsoft SQL Server uses a variant of SQL called T-SQL, or Transact-SQL, an implementation of SQL-92. T-SQL mainly adds additional syntax for use in stored procedures, and affects the syntax of transaction support.

SQL Server includes support for database mirroring and clustering. A SQL server cluster is a collection of identically configured servers, which help distribute the workload among multiple servers. All the servers share an identical virtual server name, and it is resolved into the IP address of any of the identically configured machines by the clustering runtime. Automatic failover clustering is also available, in which the workload of a server is transferred to another system in the event of a system failure.SQL server also supports data partitioning for distributed databases. Database mirroring, introduced in SQL Server 2005, allows creation of mirrors (or replicas) of database contents, along with transaction logs, on another instance of SQL Server, based on certain predefined triggers.

Microsoft and other vendors provide a number of software development tools designed to allow business applications to be developed using the data stored by Microsoft SQL Server. Microsoft SQL Server 2005 now includes the common language runtime (CLR) component for Microsoft .NET. Applications developed with .NET languages such as VB.NET or C# can implement stored procedures and other functions. Older versions of Microsoft development tools typically use APIs to access Microsoft SQL Server functionality.

We can design and engineer databases based on your business model and provide tools and interfaces that can be used to mine your business data. We also have experience in database persistence and create custom persistence frameworks and algorythms which can be used to predict patterns and trends from your data.

Oracle Database is a relational database management system released by Oracle Corporation. Oracle Database has become a major feature of database computing.

An Oracle database system comprises at least one instance of the application, along with data storage. An instance comprises a set of operating-system processes and memory-structures that interact with the storage. Typical processes include PMON (the process monitor) and SMON (the system monitor).

Users of Oracle databases refer to the server-side memory-structure as the SGA (System Global Area). The SGA typically holds cache information such as data-buffers, SQL commands and user information. In addition to storage, the database consists of online redo logs (which hold transactional history). Processes can in turn archive the online redo logs into archive logs (offline redo logs), which provide the basis (if necessary) for data recovery and for some forms of data replication.

The Oracle RDBMS stores data logically in the form of tablespaces and physically in the form of data files. Tablespaces can contain various types of memory segments; for example, Data Segments, Index Segments etc. Segments in turn comprise one or more extents. Extents comprise groups of contiguous data blocks. Data blocks form the basic units of data storage. At the physical level, data-files comprise one or more data blocks, where the block size can vary between data-files.

Oracle databases can be used to create distributed database running over contiguous or disparate logistical locations. It can be used to store data and information and provides high availably and performance and is used extensively as a practial and reliable database.

We can design and engineer databases based on your business model and provide tools and interfaces that can be used to mine your business data. We also have experience in database persistence and create custom persistence frameworks and algorythms which can be used to predict patterns and trends from your data.

MySQL is a multithreaded, multi-user SQL database management system which has, according to MySQL AB, more than 10 million installations. The basic program runs as a server providing multiuser access to a number of databases.

Libraries for accessing MySQL databases are available in all major programming languages with language-specific APIs. In addition, an ODBC interface called MyODBC allows additional programming languages that support the ODBC interface to communicate with a MySQL database, such as ASP or ColdFusion. The MySQL server and official libraries are mostly implemented in ANSI C/ANSI C++.

MySQL is popular for web applications and acts as the database component of the

LAMP (Linux-Apache-MySQL-PHP/Perl/Python)

MAMP (Mac-Apache-MySQL-PHP/Perl/Python)

WAMP (Windows-Apache-MySQL-PHP/Perl/Python)

Its popularity for use with web application is closely tied to the popularity of PHP, which is often combined with MySQL. PHP and MySQL are essential components for running popular content management systems such as WordPress and Drupal blogging platforms. Wikipedia runs on MediaWiki software, which can also use PHP and a MySQL database.

MySQL is the most widely used OpenSource SQL database in the world. It provides features and services which make it ideal for small to medium enterprises to effectively manage small to reasonably large business data. It is also fulyl compliant with the SQL standard and provides support for stored procedures and object abstraction when coupled with object persistence frameworks.

We can design and engineer databases based on your business model and provide tools and interfaces that can be used to mine your business data. We also have experience in database persistence and create custom persistence frameworks and algorythms which can be used to predict patterns and trends from your data.

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