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    Learn SQL in 24 Hours
    Learn SQL in 24 Hours
    Learn SQL in 24 Hours
    Ebook312 pages2 hours

    Learn SQL in 24 Hours

    By Alex Nordeen

    5/5

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    • Database Management

    • Mysql

    • Sql

    • Aggregate Functions

    • Database Design

    • Power of Knowledge

    • Evolution of Technology

    • Data Types

    • Sql Queries

    • Data Manipulation

    • Select Statement

    • Wildcards

    About this ebook

    Databases can be found in almost all software applications. Infact it's hard to find a software that doesn’t use a database. SQL is the standard language to query a database. SQL stand for: Structured Query Language. SQL provides basic to advance commands to retrieve, update, delete, insert data into database.


    This book is designed for beginners with little or no prior database experience.


    Table Of Content


    Here is what you will learn:


    Chapter 1: Introduction to Database and MySQL


    What is Data?


    What is a database?


    What is a Database Management System?


    Types of DBMS


    What is SQL?


    What is NoSQL?


    Chapter 2: Install MySQL workbench


    What is MySQL?


    Why use MySQL?


    Introducing MySQL Workbench


    MySQL workbench- Modeling and Design tool


    MySQL workbench - SQL development tool


    Install MySQL workbench Guide


    Chapter 3: Introduction To Database Design


    Why Database Design is Important?


    Database development life cycle


    Requirements analysis


    Database designing


    Implementation


    Types of Database Techniques


    Chapter 4: Database Normalization


    What is Normalization?


    1NF Rules


    What is Composite Key


    2NF Rules


    3NF Rules


    Boyce-Codd Normal Form (BCNF)


    Chapter 5: ER Modeling


    What is ER Modeling?


    Enhanced Entity Relationship (EER) Model


    Why use ER Model?


    Entities in the "MyFlix" library


    Defining the relationships among entities


    Chapter 6: How To Create A Database


    Create Database


    Creating Tables MySQL


    Data types


    MySQL workbench ER diagram forward Engineering


    Chapter 7: How to use SELECT in MySQL


    Chapter 8: Where clause in MySQL


    Chapter 9: How to use INSERT Into in MySQL


    Chapter 10: How to Delete & Update data in MySQL


    Chapter 11: ORDER BY, DESC and ASC


    Chapter 12: Group By


    Chapter 13: Wildcards


    Chapter 14: Regular Expressions


    Chapter 15: MySQL PHP


    Chapter 16: Aggregate Function in MySQL


    Chapter 17: Null value & Keyword in MySQL


    Chapter 18: Auto Increment


    Chapter 19: Alter, Drop & Rename


    Chapter 20: Limit keyword


    Chapter 21: Sub-Queries


    Chapter 22: Joins


    Chapter 23: Unions


    Chapter 24: Views


    Chapter 25: Index in MySQL

    LanguageEnglish
    PublisherPublishdrive
    Release dateNov 12, 2021
    Learn SQL in 24 Hours

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    • 5/5
      It helped me get a real grasp on SQL databases & queries for my new job. Big help for any beginner getting started. Although don't get me wrong its a dry read, so just power through it will help.

    Book preview

    Learn SQL in 24 Hours - Alex Nordeen

    SQL-V1

    Learn SQL in 24 Hours

    By Alex Nordeen

    Copyright 2021 - All Rights Reserved – Alex Nordeen

    ALL RIGHTS RESERVED. No part of this publication may be reproduced or transmitted in any form whatsoever, electronic, or mechanical, including photocopying, recording, or by any informational storage or retrieval system without express written, dated and signed permission from the author.

    Table Of Content

    Chapter 1: Introduction to Database and MySQL

    What is Data?

    What is a database?

    What is a Database Management System?

    Types of DBMS

    What is SQL?

    What is NoSQL?

    Chapter 2: Install MySQL workbench

    What is MySQL?

    Why use MySQL?

    Introducing MySQL Workbench

    MySQL workbench- Modeling and Design tool

    MySQL workbench - SQL development tool

    Install MySQL workbench Guide

    Chapter 3: Introduction To Database Design

    Why Database Design is Important?

    Database development life cycle

    Requirements analysis

    Database designing

    Implementation

    Types of Database Techniques

    Chapter 4: Database Normalization

    What is Normalization?

    1NF Rules

    What is Composite Key

    2NF Rules

    3NF Rules

    Boyce-Codd Normal Form (BCNF)

    Chapter 5: ER Modeling

    What is ER Modeling?

    Enhanced Entity Relationship (EER) Model

    Why use ER Model?

    Entities in the MyFlix library

    Defining the relationships among entities

    Chapter 6: How To Create A Database

    Create Database

    Creating Tables MySQL

    Data types

    MySQL workbench ER diagram forward Engineering

    Chapter 7: How to use SELECT in MySQL

    Chapter 8: Where clause in MySQL

    Chapter 9: How to use INSERT Into in MySQL

    Chapter 10: How to Delete & Update data in MySQL

    Chapter 11: ORDER BY, DESC and ASC

    Chapter 12: Group By

    Chapter 13: Wildcards

    Chapter 14: Regular Expressions

    Chapter 15: MySQL PHP

    Chapter 16: Aggregate Function in MySQL

    Chapter 17: Null value & Keyword in MySQL

    Chapter 18: Auto Increment

    Chapter 19: Alter, Drop & Rename

    Chapter 20: Limit keyword

    Chapter 21: Sub-Queries

    Chapter 22: Joins

    Chapter 23: Unions

    Chapter 24: Views

    Chapter 25: Index in MySQL

    Chapter 1: Introduction to Database and MySQL

    What does sql stands for? SQL stand for: Structured Query Language

    Before we learn about database , let's understand - 

    What is Data?

    In simple words data can be facts related to any object in consideration.

    For example your name, age, height, weight, etc are some data related to you.

    A picture , image , file , pdf etc can also be considered data.

    What is a database?

    Database DefinationA database is a systematic collection of data. Databases support storage and  manipulation of data. Databases make data management easy. Let's discuss few examples.

    An online telephone directory would definitely use database to store data pertaining to people, phone numbers, other contact details, etc.

    Your electricity service provider is obviously using a database to manage billing , client related issues, to handle fault data, etc.

    Let's also consider the facebook. It needs to store, manipulate and present data related to members, their friends, member activities, messages, advertisements and lot more.

    We can provide countless number of examples for usage of databases .

    What is a Database Management System (DBMS)?

    Database Management System (DBMS) is a collection of programs which enables its users to access database, manipulate data, reporting / representation of  data .

    It also helps to control access to the  database.

    Database Management Systems are not a new concept and as such had been first implemented in 1960s.

    Charles Bachmen's Integrated Data Store(IDS) is said to be the first DBMS in history.

    With time database technologies evolved a lot while usage and expected functionalities of databases have been increased immensely.

    Types of DBMS

    Let's see how the DBMS family got evolved with the time. Following diagram shows the evolution of DBMS categories.

    There are 4 major types of DBMS. Let's look into them in detail.

    Hierarchical- this type of DBMS employs the parent-child relationship of storing data. This type of DBMS is rarely used nowadays. Its structure is like a tree with nodes representing records and branches representing fields. The windows registry used in Windows XP is an example of a hierarchical database. Configuration settings are stored as tree structures with nodes.

    Network DBMS- this type of DBMS supports many-to many relations. This usually results in complex database structures.  RDM Server is an example of a database management system that implements the network model.

    Relational DBMS- this type of DBMS defines database relationships in form of tables, also known as relations. Unlike network DBMS, RDBMS does not support many to manyrelationships.RelationalDBMS usually have pre-defined data types that they can support. This is the most popular DBMS type in the market. Examples of relational database management systems include MySQL, Oracle, and Microsoft SQL Server database.

    Object Oriented Relation DBMS- this type supports storage of new data types. The data to be stored is in form of objects. The objects to be stored in the database have attributes (i.e. gender, ager) and methods that define what to do with the data. PostgreSQL is an example of an object oriented relational DBMS.

    What is SQL?

    SQL Definition: Structured Query language (SQL) pronounced as S-Q-L or sometimes as "See-Quel"is actually the standard language for dealing with Relational Databases.

    SQL programming can be effectively used to insert, search, update, delete database records.

    That doesn't mean SQL cannot do things beyond that.

    In fact it can do lot of things including, but not limited to ,optimizing and maintenance of databases. 

    Relational databases like MySQL Database, Oracle, Ms SQL server, Sybase, etc uses SQL ! How to use sql syntaxes?

     SQL syntaxes used in these databases are almost similar, except the fact that some are using few different syntaxes and even proprietary SQL syntaxes.

    SQL Example

    SELECT * FROM Members WHERE Age > 30

    What is NoSQL ?

    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. 

    Concept of NoSQL databases grew with internet giants such as Google, Facebook, Amazon etc who deal with gigantic volumes of data.

    When you use relational database for massive volumes of data , the system starts getting slow in terms of response time.

    To overcome this , we could of course 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 are 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

    Why it makes sense to learn SQL after NOSQL ?

    With the advantages of NOSQL databases outlined above that scale out better than relational models, you might be thinking why one would still want to learn about SQL database?

    Well, NOSQL databases are sort of highly specialized systems and have their special usage and limitations. NOSQL suit more for those who handles huge volumes of data. The vast majority, use relational databases and associated tools.

    Relational databases have the following advantages over NOSQL databases;

    SQL(relational) databases have a mature data storage and management model . This is crucial for enterprise users.

    SQL databases support the notion of views which allow users to only see data that they are authorized to view. The data that they are not authorized to see is kept hidden from them.

    SQL databases support stored proceduresqlwhich allow database developers to implement part of the business logic into the database.

    SQL databases have better security models compared to NoSQL databases.

    The world has not deviated from use of relational databases. There is growing a demand for professionals who can handle relational databases. Thus learning databases and SQL still holds merit.

    Summary

    DBMS stands for Database Management System.

    We have four major types of DBMSs namely Hierarchical, Network, Relational, Object Oriented

    The most widely used DBMS is the relational model that saves data in table formats. It uses SQL as the standard query language

    SQL language is used toSqlquery a database

    The database approach has many advantages when it comes to storing data compared to the traditional flat file based systems

    Chapter 2:

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