The relation between SQL and Database is quite important. If you are new to coding, you probably know it all. But if you are a layman or the learner, then you must know that they are very much related, and a database is formed by using SQL.
What is a database?
A database is a system where data is stored. That is, however, the simplest definition. In terms of Database management systems, a database is all about organizing data in the form of tables, so that the columns and rows in the table can hold the data in the fields. Data about a business or organization, which mean data in huge numbers, can be stored in a DBMS, and then this data can be accessed, stored, edited, deleted, and processed using the software needed to operate the DBMS. There are various programs under database management systems.
DBMS and RDBMS
DBMS means database management system, and RDBMS means relational database management system. The similarity between them is both deal with storing, editing and processing of data, which are stored in an organized set pattern, for easy access and processing, through standard logic and commands. The differences between them are:
- DBMS manages data within the system, while RDBMS connects sets of data logically to form a relational system for easier execution and sorting.
- The client-server model is not supported in DBMS, but RDBMS supports it.
- A program maintains the relations between files or tables in DBMS, whereas in RDBMS this relation is specified at the time of file or table creation.
- RDBMS support distributed which DBMS does not.
- Where DBMS offers no security, RDBMS supports tiers of security at command, object, and operating system levels.
What is SQL?
SQL means Structured Query Language. This is based on ANSI and is a systematic language to establish interaction with a database and process data in it. Hence, SQL query system is an integral part of managing a database or a database management system.
SQL works by stating what is need to be done. It applied a command specific way than a procedure specific way. In other programming languages, a format of doing an execution is defined through a set of commands, which is not done in SQL. In SQL the job that needs to be done is just specified and not the lines of command which tells how to do to. Telling what to do with a SQL command line returns the results.
What can you do with SQL?
You can do the following using SQL in a DBMS:
- Execution of queries
- Retrieval of data
- Insertion of records
- Record updating
- Record deletion
- New database creation
- New table creation within the database
- Creation of stored procedures in the database
- Creation of views in the database
- Setting permissions on views, tables, and procedures
Some of the major commands in SQL, which are supported in all version of the language for pertaining to the ANSI/ISO standard, are, INSERT, UPDATE, WHERE, SELECT, DELETE, etc.
SQL can be used on your website to build the site’s database, access it, manage it, and process all data throughout. For this, you would need any relational database program like MySQL, MS Access, or SQL Server, etc. You would also need a server-based scripting language like ASP or PHP. Also, page styling can be done using CSS and HTML. To know about SQL in details, you can get in touch with the experts at RemoteDBA.com.
Understanding the Table structure in RDBMS
How data is stored in any relational database management system is very interesting. Tables are the storehouse of data in an RDBMS. And tables are formed of rows and columns. The interjections of a row and column forms a field, and fields contain data. The row is the prime bearer of the data specific records, and the column serves the purpose of tagging or labeling a data record with a specific field. This entity or label in the column helps the data to be pulled faster when a SQL query is run to access and process that data. All current day database systems like MySQL, MS SQL Server, Microsoft Access, Oracle, IBM DB2, etc. run on SQL based RDBMS.
Important commands in SQL
The commands in SQL used to access, process, delete and modify data are called SQL statements. The most common and important SQL statements are as follows:
- UPDATE – for updating data in a table
- SELECT – for data extraction in a database
- ALTER TABLE – to modify a table
- CREATE DATABASE – for new database creation
- DELETE – for deleting data from a database
- ALTER DATABASE – to modify the database
- INSERT INTO – for inserting new data
- DROP INDEX – for deleting an index
- CREATE TABLE – new table creation
- DROP TABLE – table gets deleted
- CREATE INDEX – searches and creates an index
Use of Semicolon
In SQL, many databases require the use of a semicolon after each statement. The semicolon denotes the end of a statement, after which another statement can be written. Also, due to sue of the semicolon as per standard SQL writing guidelines, it becomes easier to write multiple statements for parallel execution on a database at the same time.
An SQL based database generally referred to as the relational database or RDBMS can help organizations sort and maintain their data much easier in a structured pattern. Ever since RDBMS has been a success, organizations deal with huge loads of data through such a database management system only. That’s because this way data is never in any threat, can be maintained with complete digital records, and on the cloud, forever. And any data can be pulled out from the database at any time, processed, deleted, modified, etc. This makes data handling a bliss, and the job of data managers have got much simplified, and all paperwork has been nullified.
These days when a business or organization is at the inception or planning stage, then only the first few things which are decided, includes the apt use of a good database management system. Hence the requirement and importance of SQL and databases are at peak and looks quite promising in the future too.