SQL
MySQL Workbench Tutorial for Beginners: How to Install & Use
What is MySQL? MySQL is an open source relational database. MySQL is cross platform which means it...
SQL is the standard language for dealing with Relational Databases. SQL can be used to insert, search, update, and delete database records. SQL can do lots of other operations, including optimizing and maintenance of databases.
SQL stands for Structured Query language, pronounced as "S-Q-L" or sometimes as "See-Quel"... Relational databases like MySQL Database, Oracle, MS SQL Server, Sybase, etc. use ANSI SQL.
SQL Code Example:
SELECT * FROM Members WHERE Age > 30
SQL syntaxes used in different databases are almost similar, though few RDBMS use a few different commands and even proprietary SQL syntaxes.
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Here are important reasons for using SQL
Here are important landmarks from the history of SQL:
Here are five types of widely used SQL queries.
Here's a list of some of the most commonly used SQL commands:
When you want to execute an SQL command for any DBMS system, you need to find the best method to carry out your request, and SQL engine determines how to interpret that specific task.
Important components included in this SQL process are:
A classic query engine allows you to manage all the non-SQL queries.
SQL is a language to operate databases. It includes database creation, deletion, fetching rows, modifying rows, etc. SQL is an ANSI (American National Standards Institute) standard language. SQL standards are divided into several parts.
Here are some important parts of SQL standards:
Part | Description |
---|---|
Part 1 - SQL/Framework | It offers logical concepts. |
Part 2 - SQL/Foundation | It includes central elements of SQL. |
Part 3 - SQL/CLI | This standard includes central elements of SQL. |
Part 4 - Persistent Stored Modules | Stored routines, external routines, and procedural language extensions to SQL. |
Part 9 - Management of External Data | Adds syntax and definitions to SQL/Foundation, which allow SQL access to non-SQL data sources (files). |
Part 10 - Object Language Bindings | Object Language Bindings: This part specifies the syntax and semantics of embedding SQL in Java™. |
Part 11 - SQL/Schema | Information and Definition Schemas |
Part 12 - SQL/Replication | This project began in 2000. This part helps to define the syntax and semantics to allow the definition of replication schemes and rules. |
Part 13 - Java Routines and Type | Java Routines and Types: This part of routines using the Java Programming Language. |
Part 14 - SQL/XML | SQL and XML |
Part 15 - SQL/MDA | Provide SQL support for Multi-Dimensional Arrays |
Here are important elements of SQL language:
A database in SQL Server that is made up of a collection of tables that stores a detailed set of structured data. It is a table that contains a collection of rows, referred to as records or tuples, and columns that are also referred to as attributes.
Each column in the table is designed to store a specific type of information, for example, names, dates, dollar amounts, and numbers.
NoSQL is an upcoming category of Database Management Systems. Its main characteristic is its non-adherence to Relational Database Concepts. NoSQL means "Not only SQL". The concept of NoSQL databases grew with internet giants such as Google, Facebook, Amazon etc. who deal with gigantic volumes of data.
When you use a relational database for massive volumes of data, the system starts getting slow in terms of response time. To overcome this, we could "scale up" our systems by upgrading our existing hardware. The alternative to the above problem would be to distribute our database load on multiple hosts as the load increases. This is known as "scaling out".
NoSQL database is non-relational databases that scale-out better than relational databases and are designed with web applications in mind. They do not use SQL to query the data and do not follow strict schemas like relational models. With NoSQL, ACID (Atomicity, Consistency, Isolation, Durability) features are not guaranteed always.
With the advantages of NoSQL databases outlined which scale-out better than relational models, you might be thinking why one would still want to learn about the SQL database? Well, NoSQL databases are highly specialized systems and have their special usage and limitations. NoSQL suit more for those who handle huge volumes of data. The vast majority use relational databases and associated tools.
Relational databases have the following advantages over NoSQL databases.
The world has not deviated from the use of relational databases. There is a growing demand for professionals who can handle relational databases. Thus, learning databases and SQL basics still holds merit.
Here are some top five SQL books:
In this SQL Tutorial for beginners PDF, you will learn basic Database concepts, MS-SQL commands, and advanced topics like SQL joins, Create, add and drop a table, etc. BUY NOW
This SQL book offers full-color code examples to help you understand how SQL statements are structured. You will also get knowledge of shortcuts and solutions. BUY NOW
In this SQL book, you will be able to learn the technique of walking a string that allows you to use SQL to parse characters, words, or delimited elements of a string. BUY NOW
This book includes important Microsoft SQL topics like Window functions, Pivoting rows into columns, reverse-pivoting columns into rows. BUY NOW
The book teaches you how the systems use SQL functions, regular expression syntax, and type conversion functions. BUY NOW
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Summary/Key Takeaways
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